Personalized medical advice generation method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a personalized medical advice generation method and device, electronic equipment and a storage medium, and relates to the technical field of information processing. The personalized medical advice generation method comprises the following steps: acquiring disease symptom information and personal diagnosis and treatment information of a patient; wherein the disease symptom information comprises one or more of disease information and disease symptom information, and the personal diagnosis and treatment information comprises one or more of tongue diagnosis information, face diagnosis information, pulse diagnosis information and palm diagnosis information; acquiring basic doctor's advice content matched with the disease symptom information; obtaining customized medical advice content matched with the personal diagnosis and treatment information; and generating a personalized doctor's advice according to the basic doctor's advice content and the customized doctor's advice content. According to the embodiment of the invention, the technical effect of providing personalized medical advices for different patients can be realized.

Description

Technical Field

[0001] This application relates to the field of information processing technology, and more specifically, to a method, device, electronic device, and storage medium for generating personalized medical advice. Background Art

[0002] Currently, the medical advice provided by traditional Chinese medicine diagnosis and treatment platforms to patients is relatively fixed, mostly including content such as medication times and dietary taboos. As a result, when different patients have the same disease, the medical advice they receive is the same, presenting the problem of one-size-fits-all advice. Summary of the Invention

[0003] The purpose of the embodiments of this application is to provide a method, device, electronic device, and storage medium for generating personalized medical advice, so as to achieve the technical effect of providing personalized medical advice to different patients.

[0004] In a first aspect, the embodiments of this application provide a method for generating personalized medical advice, including:

[0005] Obtain the patient's disease information and personal diagnosis and treatment information; wherein, the disease information includes one or more of the disease information and symptom information, and the personal diagnosis and treatment information includes one or more of tongue diagnosis information, face diagnosis information, pulse diagnosis information, and palm diagnosis information;

[0006] Obtain the basic medical advice content that matches the disease information;

[0007] Obtain the customized medical advice content that matches the personal diagnosis and treatment information;

[0008] Generate personalized medical advice based on the basic medical advice content and the customized medical advice content.

[0009] Furthermore, by generating personalized medical advice based on the basic medical advice content that matches the patient's disease information and the customized medical advice content that matches the patient's personal diagnosis and treatment information, it is possible to comprehensively consider the patient's personal physical condition, add customized medical advice content indicating the care suggestions for the patient's personal body to the patient's basic medical advice to obtain the patient's personalized medical advice, thereby achieving the provision of personalized medical advice to different patients.

[0010] In an alternative embodiment, the disease information includes the disease information or the symptom information;

[0011] The obtaining of the basic medical advice content that matches the disease information includes:

[0012] Obtain the medical advice template corresponding to the disease information or the symptom information;

[0013] Determine the medical advice content in the medical advice template as the basic medical advice content.

[0014] Furthermore, when the patient's disease condition information includes disease information or symptom information of the disease, directly determining the doctor's order content in the doctor's order template corresponding to the disease information or symptom information of the disease as the basic doctor's order content can directly and quickly obtain the basic doctor's order content matching the patient's disease condition information based on the doctor's order template, which is beneficial to improving the efficiency of generating personalized doctor's orders.

[0015] In an alternative embodiment, the disease condition information includes the disease information and the symptom information of the disease;

[0016] The obtaining of the basic doctor's order content matching the disease condition information includes:

[0017] Determining a target syndrome type corresponding to the disease information and the symptom information of the disease according to a pre-set first mapping relationship; wherein, the first mapping relationship is used to represent the mapping relationship between disease information, symptom information and syndrome type;

[0018] Determining a target etiology and pathogenesis corresponding to the target syndrome type according to a pre-set second mapping relationship; wherein, the second mapping relationship is used to represent the mapping relationship between syndrome type and etiology and pathogenesis;

[0019] Determining the basic doctor's order content corresponding to the target etiology and pathogenesis according to a pre-set third mapping relationship; wherein, the third mapping relationship is used to represent the mapping relationship between etiology and pathogenesis and the doctor's order content of one or more types of doctor's orders in the doctor's order library.

[0020] Furthermore, by determining a target syndrome type corresponding to the disease information and the symptom information of the disease according to a pre-set first mapping relationship, determining a target etiology and pathogenesis corresponding to the target syndrome type according to a pre-set second mapping relationship, and determining the basic doctor's order content corresponding to the target etiology and pathogenesis according to a pre-set third mapping relationship, it is possible to take into account the differences in doctor's order content caused by different etiologies and pathologies for each disease and each syndrome, accurately obtain the basic doctor's order content matching the patient's disease condition information, which is beneficial to improving the efficiency of generating personalized doctor's orders.

[0021] In an alternative embodiment, the method further includes:

[0022] Adding the target etiology and pathogenesis to the personalized doctor's order.

[0023] Furthermore, by adding the target etiology and pathogenesis to the personalized doctor's order, it is convenient for the patient to view the etiology and pathogenesis of their personal illness in the personalized doctor's order, which is beneficial to helping the patient comprehensively understand their personal illness situation.

[0024] In an alternative embodiment, the obtaining of the customized medical advice content matching the personal medical treatment information includes:

[0025] Determine a target syndrome element corresponding to the personal medical treatment information according to a pre-set fourth mapping relationship; wherein, the fourth mapping relationship is used to represent the mapping relationship between medical treatment information and syndrome elements;

[0026] Determine the customized medical advice content corresponding to the target syndrome element according to a pre-set fifth mapping relationship; wherein, the fifth mapping relationship is used to represent the mapping relationship between syndrome elements and the medical advice content of one or more types of medical advice in the medical advice library.

[0027] Furthermore, by determining the target syndrome element corresponding to the personal medical treatment information according to the pre-set fourth mapping relationship and determining the customized medical advice content corresponding to the target syndrome element according to the pre-set fifth mapping relationship, it is possible to take into account the differences in medical advice content caused by different syndrome elements for each disease and each syndrome, and accurately obtain the customized medical advice content matching the patient's personal medical treatment information, thereby facilitating the improvement of the efficiency of generating personalized medical advice.

[0028] In an alternative embodiment, the medical advice library includes one or more types of medical advice among disease medical advice for instructing the patient's disease precautions, diet medical advice for instructing the patient's diet suggestions, exercise medical advice for instructing the patient's exercise suggestions, life medical advice for instructing the patient's life schedule suggestions, examination medical advice for instructing the patient's self-examination suggestions, and follow-up medical advice for instructing the patient's follow-up visit suggestions;

[0029] The medical advice content of each type of medical advice includes first medical advice content related to disease information and / or second medical advice content related to medical treatment information;

[0030] The obtaining of the basic medical advice content matching the diseased condition information and the obtaining of the customized medical advice content matching the personal medical treatment information include:

[0031] Determine the first medical advice content of one or more types of medical advice corresponding to the diseased condition information as the basic medical advice content;

[0032] Determine the second medical advice content of one or more types of medical advice corresponding to the personal medical treatment information as the customized medical advice content.

[0033] Further, by storing in the medical advice library one or more types of medical advice including disease medical advice for indicating precautions for patients with diseases, dietary medical advice for indicating dietary suggestions for patients, exercise medical advice for indicating exercise suggestions for patients, daily routine medical advice for indicating daily routine suggestions for patients, examination medical advice for indicating self-examination suggestions for patients, and follow-up medical advice for indicating follow-up suggestions for patients, determining the first medical advice content of one or more types of medical advice corresponding to the patient's disease information in the medical advice library as the basic medical advice content, and determining the second medical advice content of one or more types of medical advice corresponding to the patient's personal diagnosis and treatment information in the medical advice library as the customized medical advice content, it is possible to consider the patient's personal disease condition and physical condition, obtain disease treatment plans and physical care suggestions in multiple aspects such as disease, diet, exercise, daily routine, examination, and follow-up, so as to provide more abundant personalized medical advice to different patients.

[0034] In an alternative embodiment, generating the personalized medical advice according to the basic medical advice content and the customized medical advice content includes:

[0035] Determining multiple associated medical advice contents with semantic associations in the basic medical advice content and the customized medical advice content;

[0036] Performing a fusion process on the multiple associated medical advice contents to obtain the target medical advice content;

[0037] Generating the personalized medical advice according to the target medical advice content and the remaining medical advice contents in the basic medical advice content and the customized medical advice content except the multiple associated medical advice contents.

[0038] Further, by determining multiple associated medical advice contents with semantic associations in the basic medical advice content and the customized medical advice content, performing a fusion process on the multiple associated medical advice contents to obtain the target medical advice content, and generating the personalized medical advice according to the target medical advice content and the remaining medical advice contents in the basic medical advice content and the customized medical advice content except the multiple associated medical advice contents, it is possible to fuse and represent the multiple associated medical advice contents with semantic associations in the basic medical advice content and the customized medical advice content in the personalized medical advice, ensuring that the content description of the personalized medical advice is more concise, thereby facilitating the improvement of the personalized medical advice generation efficiency.

[0039] In a second aspect, an embodiment of the present application provides a personalized medical advice generation device, including:

[0040] A patient information acquisition module, configured to acquire the patient's disease information and personal diagnosis and treatment information; wherein, the disease information includes one or more of disease information and disease symptom information, and the personal diagnosis and treatment information includes one or more of tongue diagnosis information, face diagnosis information, pulse diagnosis information, and palm diagnosis information;

[0041] A basic medical order content acquisition module, configured to acquire basic medical order content that matches the information on the disease condition.

[0042] A customized medical order content acquisition module, configured to acquire customized medical order content that matches the personal diagnosis and treatment information.

[0043] A personalized medical order generation module, configured to generate a personalized medical order according to the basic medical order content and the customized medical order content.

[0044] Thirdly, an embodiment of the present application provides an electronic device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor; when the processor executes the computer program, the above-mentioned method is implemented.

[0045] Fourthly, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; wherein, when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the above-mentioned method. Description of the Drawings

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required to be used in the embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation of the scope. For those of ordinary skill in the art, other related drawings can also be obtained based on these drawings without creative efforts.

[0047] Figure 1 It is a schematic flowchart of a personalized medical order generation method provided by the first embodiment of the present application.

[0048] Figure 2 It is a schematic structural diagram of a personalized medical order generation device provided by the second embodiment of the present application.

[0049] Figure 3 It is a schematic structural diagram of an electronic device provided by the third embodiment of the present application. Detailed Embodiments

[0050] The following will describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments.

[0051] It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present application, terms such as "first" and "second" are only used for distinguishing descriptions and cannot be construed as indicating or implying relative importance.

[0052] In the related art, the medical advice provided by the traditional Chinese medicine diagnosis and treatment platform to patients is relatively fixed, mostly including content such as medication time and dietary taboos. As a result, when different patients have the same disease, the medical advice they receive is the same, and there is a problem of "one prescription for all".

[0053] For this reason, the present application proposes a personalized medical advice generation method. By generating personalized medical advice based on the basic medical advice content matched with the patient's disease information and the customized medical advice content matched with the patient's personal diagnosis and treatment information, it can take into account the patient's personal physical condition. The customized medical advice content for indicating the care suggestions for the patient's personal body is added to the patient's basic medical advice to obtain the patient's personalized medical advice, thereby realizing the provision of personalized medical advice to different patients.

[0054] The following combines Figure 1 to describe a personalized medical advice generation method provided by the first embodiment of the present application. The personalized medical advice method provided by the first embodiment of the present application can be executed by a terminal device deployed with a traditional Chinese medicine diagnosis and treatment platform, such as a mobile phone, tablet or computer held by a doctor and other user terminals. The following takes the user terminal as the execution subject for illustration.

[0055] Please refer to Figure 1 , Figure 1 which is a schematic flowchart of a personalized medical advice generation method provided by the first embodiment of the present application. The first embodiment of the present application provides a personalized medical advice generation method, including steps S101 to S104:

[0056] S101. Obtain the patient's disease information and personal diagnosis and treatment information; wherein, the disease information includes one or more of the disease information and the symptom information, and the personal diagnosis and treatment information includes one or more of the tongue diagnosis information, face diagnosis information, pulse diagnosis information and palm diagnosis information.

[0057] As an example, in an actual application scenario, after a doctor examines a patient, the doctor can determine the patient's disease information and personal diagnosis and treatment information, and input the patient's disease information and personal diagnosis and treatment information into the user terminal. At this time, the user terminal can obtain the patient's disease information and personal diagnosis and treatment information. Among them, the disease information includes one or more of the disease information and the symptom information, and the personal diagnosis and treatment information includes one or more of the tongue diagnosis information, face diagnosis information, pulse diagnosis information and palm diagnosis information.

[0058] In practical applications, the information about the disease suffered includes the name of the disease suffered, and the information about the symptoms of the disease suffered includes any one or more of the main symptoms, secondary symptoms, and accompanying symptoms of the disease suffered. For example, the information about the symptoms of the disease suffered includes the main symptoms and secondary symptoms of the disease suffered, or the information about the symptoms of the disease suffered includes the main symptoms, secondary symptoms, and accompanying symptoms of the disease suffered.

[0059] S102. Obtain the basic medical order content that matches the information about the disease condition suffered.

[0060] As an example, after the user terminal obtains the information about the disease condition suffered by the patient, it obtains the basic medical order content that matches the information about the disease condition suffered.

[0061] In practical applications, the basic medical order content is mainly used to indicate the treatment plan for the disease condition suffered by the patient, and may include medical order content such as the medication time.

[0062] S103. Obtain the customized medical order content that matches the personal diagnosis and treatment information.

[0063] As an example, after the user terminal obtains the personal diagnosis and treatment information of the patient, it obtains the customized medical order content that matches the personal diagnosis and treatment information.

[0064] In practical applications, the customized medical order content is mainly used to indicate the care suggestions for the patient's personal body, and may include medical order content such as diet suggestions.

[0065] S104. Generate personalized medical orders according to the basic medical order content and the customized medical order content.

[0066] As an example, after the user terminal obtains the basic medical order content and the customized medical order content, it generates personalized medical orders according to the basic medical order content and the customized medical order content, so that the patient can obtain personalized medical orders for himself / herself, which is convenient for treating the disease condition suffered according to the personalized medical orders and caring for the patient's personal body, and is conducive to helping the patient recover health as soon as possible.

[0067] In the embodiment of the present application, by generating personalized medical orders according to the basic medical order content that matches the information about the disease condition suffered by the patient and the customized medical order content that matches the personal diagnosis and treatment information of the patient, it is possible to consider the personal physical condition of the patient together, and add the customized medical order content for indicating the care suggestions for the patient's personal body to the basic medical order of the patient to obtain the personalized medical order of the patient, thereby realizing the provision of personalized medical orders to different patients.

[0068] In an optional embodiment, the information about the disease condition suffered includes the information about the disease suffered or the information about the symptoms of the disease suffered; the obtaining of the basic medical order content that matches the information about the disease condition suffered includes: obtaining the medical order template corresponding to the information about the disease suffered or the information about the symptoms of the disease suffered; and determining the medical order content in the medical order template as the basic medical order content.

[0069] Exemplarily, considering that the basic doctor's order content is mainly used to indicate the treatment plan for the patient's disease, which is usually relatively fixed, multiple disease information and multiple symptom information can be determined according to the actual application scenario. For each disease information, a large number of doctor's orders issued by doctors for this disease information are collected, and a doctor's order template corresponding to this disease information is created. The doctor's order template contains the doctor's order content of a large number of doctor's orders issued by doctors for this disease information, obtaining doctor's order templates corresponding to multiple disease information. And for each symptom information, a large number of doctor's orders issued by doctors for this symptom information are collected, and a doctor's order template corresponding to this symptom information is created. The doctor's order template contains the doctor's order content of a large number of doctor's orders issued by doctors for this symptom information, obtaining doctor's order templates corresponding to multiple symptom information, and configuring multiple doctor's order templates for the user terminal, so that the user terminal can directly obtain the basic doctor's order content that matches the patient's disease information based on the multiple doctor's order templates.

[0070] After the user terminal obtains the patient's disease information, it determines that the disease information includes disease information or symptom information of the disease.

[0071] When the disease information includes disease information, search for the doctor's order template corresponding to the disease information from the multiple pre-created doctor's order templates, and determine the doctor's order content in the doctor's order template as the basic doctor's order content.

[0072] When the disease information includes symptom information, search for the doctor's order template corresponding to the symptom information from the multiple pre-created doctor's order templates, and determine the doctor's order content in the doctor's order template as the basic doctor's order content.

[0073] In the embodiments of the present application, when the patient's disease information includes disease information or symptom information of the disease, the doctor's order content in the doctor's order template corresponding to the disease information or symptom information is directly determined as the basic doctor's order content, which can directly obtain the basic doctor's order content that matches the patient's disease information based on the doctor's order template quickly, thus being beneficial to improving the efficiency of generating personalized doctor's orders.

[0074] In an alternative embodiment, the information on the disease condition includes information on the disease and symptoms of the disease; the obtaining of the basic medical order content matching the information on the disease condition includes: determining a target syndrome type corresponding to the information on the disease and symptoms of the disease according to a pre-set first mapping relationship; wherein the first mapping relationship is used to represent the mapping relationship between disease information, symptom information and syndrome type; determining a target etiology and pathogenesis corresponding to the target syndrome type according to a pre-set second mapping relationship; wherein the second mapping relationship is used to represent the mapping relationship between syndrome type and etiology and pathogenesis; determining the basic medical order content corresponding to the target etiology and pathogenesis according to a pre-set third mapping relationship; wherein the third mapping relationship is used to represent the mapping relationship between etiology and pathogenesis and the medical order content of one or more types of medical orders in the medical order library.

[0075] Exemplarily, considering that the syndrome types of the same disease are different, the etiology and pathogenesis will also be different, and the medical order content of the medical orders issued by physicians will also be different. Multiple disease information and multiple symptom information can be determined according to the actual application scenario, and a large number of syndromes, etiology and pathogenesis diagnosed by physicians for various disease information and various symptom information, as well as the medical orders issued, are collected. The medical orders issued by a large number of physicians are classified and stored in a pre-constructed medical order library according to multiple pre-defined medical order types. According to the association relationship between various disease information, various symptom information and the syndromes diagnosed by a large number of physicians, a first mapping relationship is set, and the first mapping relationship is used to represent the mapping relationship between disease information, symptom information and syndrome type. According to the association relationship between the syndromes diagnosed by a large number of physicians and the etiology and pathogenesis diagnosed by a large number of physicians, a second mapping relationship is set, and the second mapping relationship is used to represent the mapping relationship between syndrome type and etiology and pathogenesis. And according to the association relationship between the etiology and pathogenesis diagnosed by a large number of physicians and the medical order content of the medical orders issued by a large number of physicians, a third mapping relationship is set, and the third mapping relationship is used to represent the mapping relationship between etiology and pathogenesis and the medical order content of one or more types of medical orders in the medical order library, and these multiple mapping relationships are configured for the user terminal, so that the user terminal can accurately obtain the basic medical order content matching the disease condition information of the patient according to these multiple mapping relationships.

[0076] After the user terminal obtains the disease condition information of the patient, it is determined that the disease condition information includes information on the disease and symptoms of the disease.

[0077] In the case where the disease condition information includes information on the disease and symptoms of the disease, according to the pre-set first mapping relationship, the syndrome type corresponding to the information on the disease and symptoms of the disease is determined as the target syndrome type.

[0078] For example, assume that the disease information of the patient is "Takayasu arteritis", and the disease symptom information is the main and secondary symptoms of "Takayasu arteritis". Then, according to the pre-set first mapping relationship, that is, the mapping relationship of "disease information - (main and secondary symptoms) - syndrome type", the target syndrome type corresponding to the disease information of the patient and the disease symptom information is determined as "syndrome of qi stagnation and phlegm turbidity blocking the heart orifice". Assume that the disease information of the patient is "Takayasu arteritis", and the disease symptom information is the main symptoms, secondary symptoms and accompanying symptoms of "Takayasu arteritis". Then, according to the pre-set first mapping relationship, that is, the mapping relationship of "disease information - (main symptoms, secondary symptoms and accompanying symptoms) - syndrome type", the target syndrome type corresponding to the disease information of the patient and the disease symptom information is determined as "syndrome of qi stagnation and phlegm turbidity blocking the heart orifice". Assume that the disease information of the patient is "lung cancer", and the disease symptom information is the main and secondary symptoms of "lung cancer". Then, according to the pre-set first mapping relationship, the target syndrome type corresponding to the disease information of the patient and the disease symptom information is determined as "syndrome of qi deficiency and phlegm dampness".

[0079] After the user terminal determines the target syndrome type, according to the pre-set second mapping relationship, the etiology and pathogenesis corresponding to the target syndrome type are determined as the target etiology and pathogenesis.

[0080] In practical applications, the etiologies include "six exogenous pathogenic factors", "seven emotions causing internal injuries", "improper diet", "immoderate work and rest", "excessive sexual activity", "senility and debility", and "congenital endowment deficiency", etc. The pathogeneses include "wind, dampness and heat combining and attacking upward to the eyes, qi and blood stagnating", "qi and blood stagnating, channels and collaterals obstructed", and "heat-toxin blazing and scorching nutrient blood, or leading to qi stagnation and blood stasis, blocking channels and collaterals", etc. The etiology and pathogenesis are usually expressed together and not separately.

[0081] For example, assume that the target syndrome type is "syndrome of qi stagnation and phlegm turbidity blocking the heart orifice". Then, according to the pre-set second mapping relationship, the target etiology and pathogenesis corresponding to the target syndrome type are determined as "phlegm turbidity remaining internally, transforming into phlegm over time, or emotional discomfort, stagnating and generating phlegm, resulting in this disease". Assume that the target syndrome type is "syndrome of qi deficiency and phlegm dampness". Then, according to the pre-set second mapping relationship, the target etiology and pathogenesis corresponding to the target syndrome type are determined as "improper diet injuring the spleen and stomach, the mother-son relationship affecting each other, the earth failing to generate metal, so the lung is not nourished; the spleen is the source of phlegm production, food injury and overwork causing dysfunction of transportation and transformation, dampness blocking qi movement, storing phlegm in the lung, phlegm and stasis intermingling, forming cancerous tumors, resulting in this disease".

[0082] After the user terminal determines the target etiology and pathogenesis, according to the pre-set third mapping relationship, the medical order content of one or more categories of medical orders corresponding to the target etiology and pathogenesis in the medical order library is determined as the basic medical order content.

[0083] It should be noted that the pre-set first mapping relationship, second mapping relationship, and third mapping relationship can also be combined into one or two mapping relationships. For example: the mapping relationship of "disease information - syndrome type - etiology and pathogenesis - order content of one or more types of orders in the order library"; the mapping relationship of "disease information - syndrome type - etiology and pathogenesis" and the mapping relationship of "etiology and pathogenesis - order content of one or more types of orders in the order library"; the mapping relationship of "disease information - syndrome type" and the mapping relationship of "syndrome type - etiology and pathogenesis - order content of one or more types of orders in the order library".

[0084] In the embodiment of the present application, by determining the target syndrome type corresponding to the disease information and disease symptom information according to the pre-set first mapping relationship, determining the target etiology and pathogenesis corresponding to the target syndrome type according to the pre-set second mapping relationship, and determining the basic order content corresponding to the target etiology and pathogenesis according to the pre-set third mapping relationship, it is possible to take into account the differences in order content caused by different etiologies and pathogeneses for each disease and each syndrome, accurately obtain the basic order content that matches the patient's disease information, and thus is conducive to improving the efficiency of generating personalized orders.

[0085] In an optional embodiment, the method further includes step S105:

[0086] S105. Add the target etiology and pathogenesis to the personalized order.

[0087] Exemplarily, after the user terminal determines the target etiology and pathogenesis, basic order content, and customized order content, it generates a personalized order according to the basic order content and customized order content, and adds the target etiology and pathogenesis to the personalized order, so that the patient can obtain a personalized order for himself / herself and view the etiology and pathogenesis of his / her own disease in the personalized order, which is conducive to helping the patient comprehensively understand his / her own disease situation.

[0088] In the embodiment of the present application, by adding the target etiology and pathogenesis to the personalized order, it is convenient for the patient to view the etiology and pathogenesis of his / her own disease in the personalized order, which is conducive to helping the patient comprehensively understand his / her own disease situation.

[0089] In an optional embodiment, the obtaining of the customized order content that matches the personal diagnosis and treatment information includes: determining the target syndrome element corresponding to the personal diagnosis and treatment information according to the pre-set fourth mapping relationship; wherein, the fourth mapping relationship is used to represent the mapping relationship between the diagnosis and treatment information and the syndrome element; determining the customized order content corresponding to the target syndrome element according to the pre-set fifth mapping relationship; wherein, the fifth mapping relationship is used to represent the mapping relationship between the syndrome element and the order content of one or more types of orders in the order library.

[0090] It should be noted that syndrome elements are the basic units of traditional Chinese medicine syndrome differentiation. By identifying syndromes, that is, symptoms and signs, the disease location and nature of the disease are determined, thus constituting the syndrome name.

[0091] Exemplarily, considering that the personal diagnosis and treatment information of a patient usually includes the disease location and nature of the patient's illness, and different disease locations and natures of the disease, that is, different syndrome elements, the content of the doctor's advice will also be different. According to the actual application scenario, various diagnosis and treatment information can be collected, as well as a large number of syndrome elements determined by doctors for various diagnosis and treatment information and the doctor's advice issued. The doctor's advice issued by a large number of doctors is classified and stored in a pre-constructed doctor's advice library according to multiple pre-defined doctor's advice types. According to the association relationship between various diagnosis and treatment information and the syndrome elements determined by a large number of doctors, a fourth mapping relationship is set up, and the fourth mapping relationship is used to represent the mapping relationship between diagnosis and treatment information and syndrome elements. And according to the association relationship between the syndrome elements determined by a large number of doctors and the content of the doctor's advice issued, a fifth mapping relationship is set up, and the fifth mapping relationship is used to represent the mapping relationship between syndrome elements and the content of one or more types of doctor's advice in the doctor's advice library. And these multiple mapping relationships are configured for the user terminal, so that the user terminal can accurately obtain the customized doctor's advice content matching the patient's personal diagnosis and treatment information according to these multiple mapping relationships.

[0092] After the user terminal obtains the patient's personal diagnosis and treatment information, according to the pre-set fourth mapping relationship, the syndrome element corresponding to the personal diagnosis and treatment information is determined as the target syndrome element.

[0093] For example, assuming that the personal diagnosis and treatment information includes face diagnosis information, and the face diagnosis information is "red (heart)", then according to the pre-set fourth mapping relationship, the target syndrome element corresponding to the face diagnosis information is determined as "heat". Assuming that the personal diagnosis and treatment information includes palm diagnosis information, and the palm diagnosis information is "internal heat palm (reddish)", then according to the pre-set fourth mapping relationship, the target syndrome element corresponding to the palm diagnosis information is determined as "heat".

[0094] After the user terminal determines the target syndrome element, according to the pre-set fifth mapping relationship, the content of one or more types of doctor's advice in the doctor's advice library corresponding to the target syndrome element is determined as the customized doctor's advice content.

[0095] For example, assuming that the target syndrome element is "heat", then according to the pre-set fifth mapping relationship, the customized doctor's advice content corresponding to the target syndrome element is determined to be "Pay attention to keeping a comfortable mood, and you can eat an appropriate amount of seasonal pomelos, pears, mung beans, watermelons, etc." and "Avoid eating spicy and stimulating foods, avoid eating fatty, sweet, greasy and meaty, warm and hot foods, and avoid eating seafood, fish, shrimps and crabs that cause allergic reactions."

[0096] It should be noted that the fourth mapping relationship and the fifth mapping relationship can also be combined into one mapping relationship, such as "diagnosis and treatment information - syndrome element - content of one or more types of doctor's advice in the doctor's advice library".

[0097] For example, assume that the personal diagnosis and treatment information includes face-to-face consultation information, and the face-to-face consultation information is "red (heart)". Then, according to the pre-set mapping relationship of "diagnosis and treatment information - syndrome element - medical advice content of one or more types of medical advice in the medical advice library", the target syndrome element corresponding to the face-to-face consultation information is determined to be "heat", and the customized medical advice content corresponding to the target syndrome element is determined to be "Pay attention to keeping a comfortable mood, and you can appropriately eat seasonal pomelos, pears, mung beans, watermelons, etc.". Assume that the personal diagnosis and treatment information includes palm diagnosis information, and the palm diagnosis information is "internal heat palm (reddish)". Then, according to the pre-set mapping relationship of "diagnosis and treatment information - syndrome element - medical advice content of one or more types of medical advice in the medical advice library", the target syndrome element corresponding to the palm diagnosis information is determined to be "heat", and the customized medical advice content corresponding to the target syndrome element is determined to be "Avoid eating spicy and stimulating foods, avoid eating fatty, sweet, greasy, and meaty and warm foods, and avoid eating seafood, fish, shrimps, and crabs as trigger foods.".

[0098] In the embodiment of the present application, by determining the target syndrome element corresponding to the personal diagnosis and treatment information according to the pre-set fourth mapping relationship, and determining the customized medical advice content corresponding to the target syndrome element according to the pre-set fifth mapping relationship, it is possible to take into account the differences in medical advice content caused by different syndrome elements for each disease and each syndrome, and accurately obtain the customized medical advice content that matches the patient's personal diagnosis and treatment information, thereby facilitating the improvement of the efficiency of generating personalized medical advice.

[0099] In an alternative embodiment, the medical advice library includes one or more types of medical advice among disease medical advice for instructing the patient's disease precautions, diet medical advice for instructing the patient's diet suggestions, exercise medical advice for instructing the patient's exercise suggestions, life medical advice for instructing the patient's life schedule suggestions, examination medical advice for instructing the patient's self-examination suggestions, and follow-up medical advice for instructing the patient's follow-up visit suggestions; the medical advice content of each type of medical advice includes the first medical advice content related to the disease information and / or the second medical advice content related to the diagnosis and treatment information; the obtaining of the basic medical advice content that matches the disease condition information and the obtaining of the customized medical advice content that matches the personal diagnosis and treatment information include: determining the first medical advice content of one or more types of medical advice corresponding to the disease condition information as the basic medical advice content; determining the second medical advice content of one or more types of medical advice corresponding to the personal diagnosis and treatment information as the customized medical advice content.

[0100] Exemplarily, according to actual application requirements, multiple types of medical orders can be predefined, including one or more of disease medical orders for indicating precautions for patients with diseases, diet medical orders for indicating dietary suggestions for patients, exercise medical orders for indicating exercise suggestions for patients, life medical orders for indicating life schedule suggestions for patients, examination medical orders for indicating self-examination suggestions for patients, and follow-up medical orders for indicating follow-up suggestions for patients. After collecting a large number of medical orders issued by physicians, the medical orders issued by a large number of physicians are classified and stored in a pre-constructed medical order library according to the predefined multiple types of medical orders. The medical order content of each type of medical order includes first medical order content related to disease information and / or second medical order content related to diagnosis and treatment information.

[0101] It can be understood that the first medical order content of each type of medical order is determined according to the medical order content of the medical order issued by the physician focusing on disease information, and the second medical order content of each type of medical order is determined according to the medical order content of the medical order issued by the physician focusing on diagnosis and treatment information.

[0102] It should be noted that the medical order content of each type of medical order including the first medical order content and / or the second medical order content includes the following situations: the medical order content of each type of medical order includes the first medical order content; the medical order content of each type of medical order includes the second medical order content; the medical order content of each type of medical order includes the first medical order content and the second medical order content.

[0103] After the user terminal obtains the disease information of the patient, the first medical order content of one or more types of medical orders corresponding to the disease information in the medical order library is determined as the basic medical order content.

[0104] For example, assume that the disease information of the patient is "Takayasu arteritis", and the disease symptom information is the main symptoms and secondary symptoms of "Takayasu arteritis". Then, according to the pre-set first mapping relationship, the target syndrome type corresponding to the disease information and the disease symptom information is determined as "syndrome of qi stagnation and phlegm turbidity blocking the heart orifice". According to the pre-set second mapping relationship, the target etiology and pathogenesis corresponding to the target syndrome type are determined as "retention of warm turbidity, which turns into phlegm over time, or emotional discomfort, stagnation of qi generating phlegm, resulting in this disease". And according to the pre-set third mapping relationship, the first medical order content of one or more types of medical orders corresponding to the target etiology and pathogenesis in the medical order library is determined as the basic medical order content. For example, the basic medical order content includes: the medical order content of the disease medical order "Keep the upper limbs flat, avoid strenuous activities of the head, shoulders, neck and upper limbs, avoid excessive flexion of joints, and keep the incision clean and dry"; the medical order content of the diet medical order "Have a reasonable and balanced diet, with a combination of fine and coarse grains, pay attention to a low-salt, low-fat, low-sugar, low-calorie diet, eat more fresh fruits and vegetables in season, and ensure the intake of protein, such as fish, meat, eggs and milk"; the medical order content of the life medical order and the exercise medical order "Pay attention to rest and combine work with rest"; the medical order content of the follow-up medical order "If any discomfort occurs after taking the medicine, go to the hospital for treatment in time".

[0105] Assume that the disease information of the patient is "lung cancer", and the disease symptom information is the main and secondary symptoms of "lung cancer". Then, according to the pre-set first mapping relationship, determine that the target syndrome type corresponding to the disease information of the patient and the disease symptom information is "qi deficiency and phlegm-dampness syndrome". According to the pre-set second mapping relationship, determine that the target etiology and pathogenesis corresponding to the target syndrome type is "improper diet injures the spleen and stomach, the mother-son relationship is involved, the earth fails to generate metal, and the lung is not nourished; the spleen is the source of phlegm production, food injury and fatigue damage the transportation and transformation function, dampness blocks qi movement, phlegm is stored in the lung, phlegm and stasis are intertwined, forming cancerous tumors, and this disease occurs". And according to the pre-set third mapping relationship, determine the first medical advice content of one or more types of medical advice in the medical advice library corresponding to the target etiology and pathogenesis as the basic medical advice content. For example, the basic medical advice content includes: the medical advice content of diet advice and disease advice "the diet should be easy to digest and absorb, rich in protein, and improve the body's anti-cancer ability"; the medical advice content of life advice "adjust emotions and face the disease actively"; the medical advice content of examination advice "regular reexamination to monitor the curative effect and detect the recurrence or metastasis of tumors at an early stage"; the medical advice content of life advice and exercise advice "exercise appropriately, combine work and rest, have a regular life, ensure sufficient sleep and rest, and avoid overwork"; the medical advice content of follow-up visit advice "if any discomfort occurs after taking medicine, seek medical treatment at the hospital in time".

[0106] After the user terminal obtains the personal diagnosis and treatment information of the patient, determine the second medical advice content of one or more types of medical advice in the medical advice library corresponding to the personal diagnosis and treatment information as the customized medical advice content.

[0107] In the embodiment of the present application, by storing one or more types of medical advice in the medical advice library, such as disease advice for indicating the precautions for the patient's illness, diet advice for indicating the diet suggestions for the patient, exercise advice for indicating the exercise suggestions for the patient, life advice for indicating the life schedule suggestions for the patient, examination advice for indicating the self-examination suggestions for the patient, and follow-up visit advice for indicating the follow-up visit suggestions for the patient, determine the first medical advice content of one or more types of medical advice in the medical advice library corresponding to the patient's disease information as the basic medical advice content, and determine the second medical advice content of one or more types of medical advice in the medical advice library corresponding to the patient's personal diagnosis and treatment information as the customized medical advice content, which can consider the patient's personal illness situation and physical condition, obtain disease treatment plans and physical care suggestions in multiple aspects such as disease, diet, exercise, life, examination, and follow-up visit, so as to provide more rich personalized medical advice to different patients.

[0108] In an alternative embodiment, generating a personalized medical order based on the basic medical order content and the customized medical order content includes: determining multiple associated medical order contents with semantic associations in the basic medical order content and the customized medical order content; performing a fusion process on the multiple associated medical order contents to obtain a target medical order content; and generating a personalized medical order based on the target medical order content, and the remaining medical order contents in the basic medical order content and the customized medical order content other than the multiple associated medical order contents.

[0109] Exemplarily, after obtaining the basic medical order content and the customized medical order content, the user terminal determines multiple associated medical order contents with semantic associations in the basic medical order content and the customized medical order content.

[0110] In practical applications, natural language processing technology can be applied to identify the semantic associations between the basic medical order content and the customized medical order content. The specific implementation process can refer to existing semantic association identification methods and will not be elaborated here.

[0111] For example, for the semantic association between the basic medical order content "Eat more fish" and the customized medical order content "Eat more meat", the multiple associated medical order contents are respectively "Eat more fish" and "Eat more meat".

[0112] After the user terminal determines the multiple associated medical order contents, it performs a fusion process on the multiple associated medical order contents to obtain a target medical order content.

[0113] In practical applications, natural language processing technology can be applied to perform a fusion process on the multiple associated medical order contents. The specific implementation process can refer to existing text fusion methods and will not be elaborated here.

[0114] For example, assuming the multiple associated medical order contents are respectively "Eat more fish" and "Eat more meat", the target medical order content obtained through the fusion process is "Eat more fish and meat".

[0115] After the user terminal obtains the target medical order content, it generates a personalized medical order based on the target medical order content, and the remaining medical order contents in the basic medical order content and the customized medical order content other than the multiple associated medical order contents.

[0116] In the embodiment of the present application, by determining multiple associated medical order contents with semantic associations in the basic medical order content and the customized medical order content, performing a fusion process on the multiple associated medical order contents to obtain a target medical order content, and generating a personalized medical order based on the target medical order content, and the remaining medical order contents in the basic medical order content and the customized medical order content other than the multiple associated medical order contents, it is possible to fuse and represent the multiple associated medical order contents with semantic associations in the basic medical order content and the customized medical order content in the personalized medical order, ensuring that the content description of the personalized medical order is more concise, thereby facilitating the improvement of the personalized medical order generation efficiency.

[0117] Please refer to Figure 2 ,Figure 2 The structural schematic diagram of a personalized medical advice generation device provided in the second embodiment of the present application. The second embodiment of the present application provides a personalized medical advice generation device, including: a patient information acquisition module 201, configured to acquire the disease information and personal diagnosis information of a patient; wherein, the disease information includes one or more of disease information and symptom information, and the personal diagnosis information includes one or more of tongue diagnosis information, face diagnosis information, pulse diagnosis information, and palm diagnosis information; a basic medical advice content acquisition module 202, configured to acquire basic medical advice content matching the disease information; a customized medical advice content acquisition module 203, configured to acquire customized medical advice content matching the personal diagnosis information; a personalized medical advice generation module 204, configured to generate personalized medical advice according to the basic medical advice content and the customized medical advice content.

[0118] In an alternative embodiment, the disease information includes disease information or symptom information; the acquiring of the basic medical advice content matching the disease information includes: acquiring a medical advice template corresponding to the disease information or symptom information; and determining the medical advice content in the medical advice template as the basic medical advice content.

[0119] In an alternative embodiment, the disease information includes disease information and symptom information; the acquiring of the basic medical advice content matching the disease information includes: determining a target syndrome type corresponding to the disease information and symptom information according to a pre-set first mapping relationship; wherein, the first mapping relationship is used to represent the mapping relationship between disease information, symptom information and syndrome type; determining a target etiology and pathogenesis corresponding to the target syndrome type according to a pre-set second mapping relationship; wherein, the second mapping relationship is used to represent the mapping relationship between syndrome type and etiology and pathogenesis; determining the basic medical advice content corresponding to the target etiology and pathogenesis according to a pre-set third mapping relationship; wherein, the third mapping relationship is used to represent the mapping relationship between etiology and pathogenesis and the medical advice content of one or more types of medical advice in the medical advice library.

[0120] In an alternative embodiment, the personalized medical advice generation module 204 is further configured to add the target etiology and pathogenesis to the personalized medical advice.

[0121] In an alternative embodiment, the acquiring of the customized medical advice content matching the personal diagnosis information includes: determining a target syndrome element corresponding to the personal diagnosis information according to a pre-set fourth mapping relationship; wherein, the fourth mapping relationship is used to represent the mapping relationship between diagnosis information and syndrome element; determining the customized medical advice content corresponding to the target syndrome element according to a pre-set fifth mapping relationship; wherein, the fifth mapping relationship is used to represent the mapping relationship between syndrome element and the medical advice content of one or more types of medical advice in the medical advice library.

[0122] In an alternative embodiment, the medical order library includes one or more types of medical orders, such as disease medical orders for indicating precautions for patients with diseases, diet medical orders for indicating dietary suggestions for patients, exercise medical orders for indicating exercise suggestions for patients, daily routine medical orders for indicating daily routine suggestions for patients, examination medical orders for indicating self-examination suggestions for patients, and follow-up medical orders for indicating follow-up suggestions for patients; the medical order content of each type of medical order includes first medical order content related to disease information and / or second medical order content related to diagnosis and treatment information; obtaining the basic medical order content matching the disease condition information and obtaining the customized medical order content matching the personal diagnosis and treatment information includes: determining the first medical order content of one or more types of medical orders corresponding to the disease condition information as the basic medical order content; determining the second medical order content of one or more types of medical orders corresponding to the personal diagnosis and treatment information as the customized medical order content.

[0123] In an alternative embodiment, generating a personalized medical order according to the basic medical order content and the customized medical order content includes: determining multiple associated medical order contents with semantic associations in the basic medical order content and the customized medical order content; performing a fusion process on the multiple associated medical order contents to obtain target medical order content; generating a personalized medical order according to the target medical order content and the remaining medical order contents in the basic medical order content and the customized medical order content other than the multiple associated medical order contents.

[0124] The implementation processes of the functions and roles of each module in the above device are specifically described in detail in the implementation processes of the corresponding steps in the above method, and will not be repeated here.

[0125] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of an electronic device provided in the third embodiment of the present application. The third embodiment of the present application provides an electronic device 30, including a processor 301, a memory 302, and a computer program stored in the memory 302 and configured to be executed by the processor 301; when the processor 301 executes the computer program, it implements the method described in the first embodiment of the present application and can achieve the same beneficial effects.

[0126] Among them, when the processor 301 reads the computer program from the memory 302 through the bus 303 and executes the computer program, it can implement the method described in the first embodiment of the present application.

[0127] The processor 301 can process digital signals and can include various computing structures. For example, a complex instruction set computer structure, a reduced instruction set computer structure, or a structure that implements a combination of multiple instruction sets. In some examples, the processor 301 may be a microprocessor.

[0128] The memory 302 can be used to store instructions executed by the processor 301 or data related to the instruction execution process. These instructions and / or data can include code for implementing some or all of the functions of one or more modules described in the embodiments of the present application. The processor 301 in this embodiment can be used to execute the instructions in the memory 302 to implement the method described in the first embodiment of the present application. The memory 302 includes a dynamic random access memory, a static random access memory, a flash memory, an optical memory, or other memories well known to those skilled in the art.

[0129] The fourth embodiment of the present application provides a computer-readable storage medium, which includes a stored computer program; wherein, when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the method described in the first embodiment of the present application, and can achieve the same beneficial effects.

[0130] In summary, the embodiments of the present application provide a personalized medical advice generation method, device, electronic device, and storage medium. The personalized medical advice generation method includes: obtaining the patient's disease information and personal diagnosis information; wherein, the disease information includes one or more of the disease information and the disease symptom information, and the personal diagnosis information includes one or more of the tongue diagnosis information, face diagnosis information, pulse diagnosis information, and palm diagnosis information; obtaining the basic medical advice content that matches the disease information; obtaining the customized medical advice content that matches the personal diagnosis information; and generating personalized medical advice according to the basic medical advice content and the customized medical advice content. By generating personalized medical advice based on the basic medical advice content that matches the patient's disease information and the customized medical advice content that matches the patient's personal diagnosis information, the embodiments of the present application can consider the patient's personal physical condition together, and add customized medical advice content for indicating the care suggestions for the patient's personal body to the patient's basic medical advice to obtain the patient's personalized medical advice, so as to provide personalized medical advice to different patients.

[0131] The above embodiments are only examples for illustration. The various embodiments of the present application can be combined or nested with each other, and the present application is not limited thereto.

[0132] In several embodiments provided by the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions, and operations of devices, methods, and computer program products according to multiple embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0133] In addition, each functional module in various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0134] If the described functions are implemented in the form of software functional modules and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs, etc., which can store program codes.

[0135] The above are only embodiments of the present application and are not intended to limit the protection scope of the present application. For those skilled in the art, the present application may have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application. It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0136] As described above, the above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily conceive of changes or substitutions within the technical scope disclosed by the present application, and all such changes or substitutions should be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

[0137] It should be noted that in this text, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "comprising a..." does not exclude the existence of additional identical elements in the process, method, article or device comprising the element.

Claims

1. A method for generating personalized medical advice, characterized in that: include: Acquire the patient's disease information and personal diagnosis and treatment information; wherein the disease information includes one or more of disease information and disease symptom information, and the personal diagnosis and treatment information includes one or more of tongue diagnosis information, facial diagnosis information, pulse diagnosis information, and palm diagnosis information; Obtaining basic medical advice content that matches the disease information; Obtaining customized medical advice content that matches the personal medical information; Generate personalized medical orders based on the basic medical order content and the customized medical order content.

2. The method according to claim 1, characterized in that The disease condition information includes the disease information or the disease symptom information; The obtaining of basic medical advice content matching the disease information includes: Obtain a medical advice template corresponding to the disease information or the disease symptom information; The medical order content in the medical order template is determined as the basic medical order content.

3. The method according to claim 1, characterized in that The disease information includes the disease information and the disease symptom information; The obtaining of basic medical advice content matching the disease information includes: Determine the target syndrome type corresponding to the disease information and the symptom information according to a preset first mapping relationship; wherein the first mapping relationship is used to characterize the mapping relationship between the disease information, the symptom information and the syndrome type; Determine the target etiology and pathogenesis corresponding to the target syndrome type according to a preset second mapping relationship; wherein the second mapping relationship is used to characterize the mapping relationship between the syndrome type and the etiology and pathogenesis; According to a preset third mapping relationship, the basic medical order content corresponding to the target etiology and pathogenesis is determined; wherein the third mapping relationship is used to characterize the mapping relationship between the etiology and pathogenesis and the medical order content of one or more categories of medical orders in the medical order library.

4. The method according to claim 3, characterized in that The method further comprises: The target etiology and pathogenesis are added to the personalized medical advice.

5. The method according to claim 1, characterized in that The obtaining of customized medical advice content matching the personal medical information includes: Determine the target certificate element corresponding to the personal diagnosis and treatment information according to a preset fourth mapping relationship; wherein the fourth mapping relationship is used to characterize the mapping relationship between the diagnosis and treatment information and the certificate element; According to a preset fifth mapping relationship, the customized medical order content corresponding to the target certificate element is determined; wherein the fifth mapping relationship is used to characterize the mapping relationship between the certificate element and the medical order content of one or more types of medical orders in the medical order library.

6. The method according to claim 3 or 5, characterized in that: The doctor's advice database includes one or more types of doctor's advice, including disease doctor's advice for instructing patients on precautions for illness, dietary doctor's advice for instructing patients on dietary recommendations, exercise doctor's advice for instructing patients on exercise recommendations, life doctor's advice for instructing patients on daily routine recommendations, examination doctor's advice for instructing patients on self-examination recommendations, and follow-up doctor's advice for instructing patients on follow-up recommendations; The medical order content of each type of medical order includes first medical order content related to symptom information and / or second medical order content related to diagnosis and treatment information; The obtaining of basic medical advice content matching the disease information and the obtaining of customized medical advice content matching the personal diagnosis and treatment information includes: Determine the first medical order content of one or more types of medical orders corresponding to the disease information as the basic medical order content; The second medical order content of one or more types of medical orders corresponding to the personal medical treatment information is determined as the customized medical order content.

7. The method according to any one of claims 1 to 5, characterized in that: Generating a personalized medical order according to the basic medical order content and the customized medical order content includes: Determine a plurality of associated medical order contents that are semantically associated in the basic medical order contents and the customized medical order contents; fusing the plurality of related medical advice contents to obtain target medical advice contents; The personalized medical order is generated according to the target medical order content, the basic medical order content, and the remaining medical order content in the customized medical order content except the multiple related medical order contents.

8. A personalized medical order generation device, characterized in that: include: The patient information acquisition module is used to acquire the patient's disease information and personal diagnosis and treatment information; wherein the disease information includes one or more of disease information and disease symptom information, and the personal diagnosis and treatment information includes one or more of tongue diagnosis information, face diagnosis information, pulse diagnosis information and palm diagnosis information; A basic medical order content acquisition module is used to acquire basic medical order content matching the disease information; A customized medical advice content acquisition module, used to acquire customized medical advice content matching the personal medical information; The personalized medical order generation module is used to generate personalized medical orders based on the basic medical order content and the customized medical order content.

9. An electronic device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor; when the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program; wherein, when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

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