Method, system and terminal for auxiliary diagnosis of allergy based on analysis result database

Abstract

The invention relates to the technical field of auxiliary diagnosis, and discloses an auxiliary allergy diagnosis method and system based on an analysis result database, and a terminal. The method comprises the following steps: constructing an analysis result database by using an auxiliary diagnosis data set, allergy data, a corresponding auxiliary diagnosis result and feedback data, generating the allergy data by using a diagnosis questionnaire, generating the auxiliary diagnosis result, obtaining the corresponding feedback data, and updating the analysis result database. The system and the terminal correspond to the method. The analysis result database provides a technical basis and a data basis for allergy auxiliary diagnosis, the comprehensiveness and practicability of allergy auxiliary diagnosis are improved, the diagnosis questionnaire is used for providing data reference for allergy data generation, the pertinence of the allergy data is improved, auxiliary diagnosis results are autonomously generated in combination with the analysis result database, and the sensitivity of allergy auxiliary diagnosis is improved. A data basis is provided for anti-allergy treatment, the specialty and intelligence of allergy auxiliary diagnosis are improved, and a data reference is provided for updating an analysis result database through feedback data.

Description

Technical Field

[0001] The present application relates to the field of auxiliary diagnosis technology, and specifically to a method, system and terminal for auxiliary diagnosis of allergies based on an analysis result database. Background Art

[0002] Infancy is a critical stage in life growth, and its health status directly affects future growth and development. Since the immune system of infants and young children is not yet fully developed, they are more sensitive to allergens in the external environment. Therefore, how to effectively identify, prevent and manage allergic symptoms is crucial to protecting the health of infants and young children.

[0003] However, the existing baby growth record software on the market generally has problems in allergy management, such as single function, incomplete data collection, and inaccurate analysis, and cannot meet the growing health management needs of parents.

[0004] Chinese patent number CN201910037320.7 discloses an intelligent auxiliary diagnosis system for pediatric respiratory diseases, the system comprising: S1, obtaining auxiliary examination information and / or doctor's consultation record information of the child to be diagnosed;

[0005] S2. Filter key information based on the auxiliary examination information and / or doctor's consultation record information; S3. Process the key information based on the pre-established children's disease knowledge base system using a pre-trained typical symptom diagnosis model to obtain a diagnosis result; the diagnosis result includes: at least one possible disease, and the characteristics of the child to be diagnosed corresponding to each possible disease. However, the invention fails to take into account the physical characteristics of children at different stages.

[0006] In summary, the existing technology urgently needs a technical solution for auxiliary diagnosis of allergies based on the analysis result database. Summary of the invention

[0007] The purpose of this application is to provide a method, system and terminal for auxiliary diagnosis of allergies based on an analysis result database to solve the technical problems raised in the above background technology.

[0008] To achieve the above objectives, this application discloses the following technical solutions:

[0009] In a first aspect, the present application discloses a method for assisting in diagnosing allergies based on an analysis result database, the method comprising:

[0010] S1: Construct an analysis result database using auxiliary diagnosis data sets, allergy data, and corresponding auxiliary diagnosis results and feedback data;

[0011] S2: Generate real-time allergy data using diagnostic questionnaires;

[0012] S3: Generate a real-time auxiliary diagnosis result using the real-time allergy data and the analysis result database;

[0013] S4: Acquiring real-time feedback data corresponding to the real-time auxiliary diagnosis result;

[0014] S5: using the real-time feedback data to update the analysis result database;

[0015] The auxiliary diagnosis data set includes allergy types and corresponding allergic symptoms, trigger factors, countermeasures and treatment plans and corresponding allergy type characteristics and corresponding allergy symptom characteristics, trigger factor characteristics, countermeasures characteristics and treatment plan characteristics; the diagnostic questionnaire includes corresponding allergy survey questions obtained based on the auxiliary diagnosis data set; the allergy data is used to characterize the user's allergic condition; the auxiliary diagnosis result is used to characterize the judgment of the user's allergic condition and the corresponding basis and anti-allergic countermeasures; the feedback data is used to characterize the user's satisfaction with the auxiliary diagnosis result.

[0016] Preferably, the construction process of the analysis result database includes:

[0017] Storing the existing allergy types and corresponding allergy symptoms, triggering factors, coping measures and treatment plans in the analysis result database;

[0018] Feature extraction technology is used to extract features of existing allergy types and corresponding allergic symptoms, trigger factors, countermeasures and treatment plans, to obtain the corresponding allergy type characteristics and the corresponding allergy symptom characteristics, trigger factor characteristics, countermeasure characteristics and treatment plan characteristics, and the corresponding allergy type characteristics and the corresponding allergy symptom characteristics, trigger factor characteristics, countermeasure characteristics and treatment plan characteristics are stored in the analysis result database.

[0019] Preferably, the process of generating the diagnostic questionnaire includes:

[0020] Access real-time patient information and a library of preset allergy survey questions;

[0021] Using the real-time patient information to match the corresponding allergy survey questions in the allergy survey question library, and generating the diagnostic questionnaire based on the allergy survey questions;

[0022] The patient information includes at least gender, age, height, weight, allergy history and real-time allergy symptoms; the allergy survey question library stores the allergy survey questions corresponding to the patient information and the auxiliary diagnosis data set.

[0023] Preferably, the process of generating the real-time allergy data includes:

[0024] Feature extraction technology is used to extract features from the answers to the diagnostic questionnaire to obtain real-time allergy situation features corresponding to the auxiliary diagnosis data set, and the real-time allergy situation features are packaged and output and defined as the real-time allergy data.

[0025] Preferably, the process of generating the real-time auxiliary diagnosis result includes:

[0026] Acquiring the real-time allergy data and the analysis result database;

[0027] The real-time allergy data is matched in the auxiliary diagnosis data set, and based on the matching result, the corresponding allergy type and any one or more of the corresponding allergy symptoms, triggering factors, coping measures and treatment plans are obtained and packaged and output as the real-time auxiliary diagnosis result.

[0028] Preferably, the process of generating the real-time auxiliary diagnosis result further includes:

[0029] The real-time auxiliary diagnosis results are processed using text generation technology to obtain the anti-allergy measures.

[0030] Preferably, the process of generating the real-time feedback data includes:

[0031] The patient and / or the patient's family obtains the real-time auxiliary diagnosis results;

[0032] Using the real-time auxiliary diagnosis results to take the allergy prevention measures for the patient;

[0033] The patient and / or the patient's family provides feedback on the effectiveness of the real-time auxiliary diagnosis result based on the implementation results of the anti-allergy countermeasures, and the effectiveness output is defined as the real-time feedback data; the effectiveness is used to characterize the quality of the implementation results of the anti-allergy countermeasures.

[0034] Preferably, the update process includes:

[0035] The real-time feedback data is acquired to obtain the validity, and the corresponding relationship between the auxiliary diagnosis data set and the allergy data and the corresponding auxiliary diagnosis results is updated based on the validity.

[0036] In a second aspect, the present application discloses a system for assisting in diagnosing allergies based on an analysis result database, the system being applicable to the method for assisting in diagnosing allergies based on an analysis result database as described above, the system comprising:

[0037] An analysis result database construction module, wherein the analysis result database construction module is configured to: construct an analysis result database using the auxiliary diagnosis data set, the allergy data, and the corresponding auxiliary diagnosis results and feedback data;

[0038] a real-time allergy data generating module, the real-time allergy data generating module being configured to generate real-time allergy data using a diagnostic questionnaire;

[0039] A real-time auxiliary diagnosis result generating module, wherein the real-time auxiliary diagnosis result generating module is configured to generate a real-time auxiliary diagnosis result using the real-time allergy data and the analysis result database;

[0040] A real-time feedback data generation module, wherein the real-time feedback data generation module is configured to obtain real-time feedback data corresponding to the real-time auxiliary diagnosis result;

[0041] An analysis result database updating module, wherein the analysis result database updating module is configured to perform an update process on the analysis result database using the real-time feedback data;

[0042] The auxiliary diagnosis data set includes allergy types and corresponding allergic symptoms, trigger factors, countermeasures and treatment plans and corresponding allergy type characteristics and corresponding allergy symptom characteristics, trigger factor characteristics, countermeasures characteristics and treatment plan characteristics; the diagnostic questionnaire includes corresponding allergy survey questions obtained based on the auxiliary diagnosis data set; the allergy data is used to characterize the user's allergic condition; the auxiliary diagnosis result is used to characterize the judgment of the user's allergic condition and the corresponding basis and anti-allergic countermeasures; the feedback data is used to characterize the user's satisfaction with the auxiliary diagnosis result.

[0043] In the third aspect, the present application discloses a terminal device, comprising: at least one processor and at least one memory, wherein the memory is communicatively connected to the processor; the memory stores a computer program that can be executed by the processor, and when the computer program is executed by the processor, the method for auxiliary diagnosis of allergies based on the analysis result database as described above is implemented.

[0044] Beneficial effects: The method, system and terminal for auxiliary diagnosis of allergies based on the analysis result database of the present application provide a technical basis and data basis for auxiliary diagnosis of allergies through the analysis result database, thereby improving the comprehensiveness and practicality of auxiliary diagnosis of allergies, using diagnostic questionnaires to provide data references for generating allergy data, thereby improving the pertinence of allergy data, and combining with the analysis result database to realize the autonomous generation of auxiliary diagnosis results, thereby providing a data basis for allergy prevention treatment, improving the professionalism and intelligence of auxiliary diagnosis of allergies, and also providing data references for updating the analysis result database through feedback data. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 A flowchart of a method for assisting in diagnosing allergies based on an analysis result database provided in an embodiment of the present application;

[0047] Figure 2 A structural block diagram of a system for assisting in diagnosing allergies based on an analysis result database provided in an embodiment of the present application. DETAILED DESCRIPTION

[0048] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0049] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0050] In a first aspect, this embodiment discloses Figure 1 A method for assisting in diagnosing allergies based on an analysis result database is shown, the method comprising:

[0051] S1: Construct an analysis result database using auxiliary diagnosis data sets, allergy data, and corresponding auxiliary diagnosis results and feedback data;

[0052] S2: Generate real-time allergy data using diagnostic questionnaires;

[0053] S3: Generate real-time auxiliary diagnosis results using real-time allergy data and analysis result database;

[0054] S4: Acquire real-time feedback data corresponding to the real-time auxiliary diagnosis result;

[0055] S5: Using real-time feedback data to update the analysis result database;

[0056] The auxiliary diagnosis data set includes allergy types and corresponding allergic symptoms, trigger factors, countermeasures and treatment plans, as well as corresponding allergy type characteristics and corresponding allergy symptom characteristics, trigger factor characteristics, countermeasures characteristics and treatment plan characteristics; the diagnostic questionnaire includes corresponding allergy survey questions obtained based on the auxiliary diagnosis data set; allergy data is used to characterize the user's allergic condition; the auxiliary diagnosis results are used to characterize the judgment of the user's allergic condition and the corresponding basis and anti-allergic countermeasures; feedback data is used to characterize the user's satisfaction with the auxiliary diagnosis results.

[0057] Based on the above, this embodiment provides a technical basis and data basis for allergy auxiliary diagnosis through the analysis result database, improves the comprehensiveness and practicality of allergy auxiliary diagnosis, uses diagnostic questionnaires to provide data references for generating allergy data, improves the pertinence of allergy data, and combines with the analysis result database to realize the autonomous generation of auxiliary diagnosis results, provides a data basis for allergy prevention treatment, improves the professionalism and intelligence of allergy auxiliary diagnosis, and also provides data references for updating the analysis result database through feedback data.

[0058] Specifically, the construction process of the analysis result database includes:

[0059] The existing allergy types and corresponding allergy symptoms, triggering factors, countermeasures and treatment plans are stored in the analysis result database;

[0060] Feature extraction technology is used to extract features of existing allergy types and corresponding allergy symptoms, trigger factors, countermeasures and treatment plans, to obtain corresponding allergy type characteristics and corresponding allergy symptom characteristics, trigger factor characteristics, countermeasures characteristics and treatment plan characteristics, and the corresponding allergy type characteristics and corresponding allergy symptom characteristics, trigger factor characteristics, countermeasures characteristics and treatment plan characteristics are stored in the analysis result database.

[0061] It should be noted that the allergy types and corresponding allergic symptoms, triggering factors, countermeasures and treatment plans in this embodiment are all based on data collected in actual allergy diagnosis. For example, if the type is drug allergy, the corresponding allergic symptoms are skin symptoms, which are the most common, such as rash, itching, erythema, blisters, etc., and systemic symptoms such as fever, chills, and joint pain may also occur. Severe drug allergies can lead to life-threatening situations such as anaphylactic shock and laryngeal edema. The corresponding triggering factors are specific types of drugs, and common ones include antibiotics such as penicillin, cephalosporins, antipyretics, analgesics, sulfonamides, etc. The corresponding countermeasures are to inform the doctor in detail of your allergy history before taking the medicine and to stop using the suspected drug immediately once allergic symptoms occur. The corresponding treatment plan is that mild allergies can be treated with antihistamines and glucocorticoids, and severe allergic reactions require immediate emergency treatment, including oxygen inhalation, keeping the airway open, using epinephrine, etc., and sending to the hospital in time; this embodiment uses the existing analysis result database technology to achieve real-time data storage and analysis. Allergy data and auxiliary diagnosis data sets are used to realize the autonomous generation of real-time auxiliary diagnosis results; this embodiment uses the existing feature extraction technology to realize the feature extraction of allergy types and corresponding allergic symptoms, triggering factors, countermeasures and treatment plans. For example, the feature extraction result of food allergy is "allergy type characteristics: allergies caused by specific foods; allergy symptom characteristics: nausea, vomiting, abdominal pain, diarrhea of ​​the digestive system; erythema, itching, urticaria of the skin; wheezing, dyspnea, coughing of the respiratory tract; severe anaphylactic shock symptoms such as decreased blood pressure and loss of consciousness; trigger factor characteristics: common allergic foods such as milk, eggs, peanuts, soybeans, wheat, fish, shrimp, shellfish, etc.; countermeasure characteristics: strictly avoid eating foods containing allergens after identifying allergens, and read food labels carefully; treatment plan characteristics: stop eating allergen foods to relieve symptoms, use antihistamines for mild symptoms, and immediately inject epinephrine and seek medical attention for severe anaphylactic shock". In this way, technical support is provided for the generation of real-time auxiliary diagnosis results based on real-time allergy data.

[0062] Based on the above, this embodiment provides a technical basis and data basis for allergy auxiliary diagnosis by constructing an analysis result database, thereby improving the comprehensiveness and practicality of allergy auxiliary diagnosis.

[0063] Specifically, the process of generating the diagnostic questionnaire includes:

[0064] Access real-time patient information and a library of preset allergy survey questions;

[0065] Using real-time patient information to match corresponding allergy survey questions in an allergy survey question database, and generating a diagnostic questionnaire based on the allergy survey questions;

[0066] The patient information includes at least gender, age, height, weight, allergy history and real-time allergy symptoms; the allergy survey question library stores allergy survey questions corresponding to the patient information and auxiliary diagnosis data sets.

[0067] It should be noted that the real-time patient information and allergy survey questions in this embodiment are based on data collected in actual allergy diagnosis. For example, the real-time patient information is "gender: male, age: 27 months, height: 90 cm, weight: 13 kg, allergy history: none, real-time allergy symptoms: continuous sneezing", and the allergy survey questions are "whether new household items are used, whether renovations have been carried out", "whether pets are kept or often in contact with pets", "the order in which symptoms appear", etc.

[0068] It can be understood that, as a preferred implementation mode of this embodiment, the bodies of infants and young children are not fully developed, resulting in different genders, ages, heights, and weights having a greater impact on the conduct of auxiliary diagnosis of allergies and the generation of allergy prevention measures. Therefore, this embodiment uses gender, age, height, and weight as data references to improve the quality and pertinence of the diagnostic questionnaire, so as to adapt to various stages of the growth of infants and young children.

[0069] Based on the above, this embodiment uses the diagnostic questionnaire to provide data reference for generating allergy data, thereby improving the pertinence of the allergy data.

[0070] Specifically, the process of generating real-time allergy data includes:

[0071] Feature extraction technology is used to extract features from the responses to the diagnostic questionnaire to obtain real-time allergy condition features corresponding to the auxiliary diagnosis data set. The real-time allergy condition feature output is packaged and defined as real-time allergy data.

[0072] It should be noted that the present embodiment utilizes the existing feature extraction technology to realize the extraction of allergy condition features, and the allergy condition features of the present embodiment are based on the data collected in the actual allergy diagnosis, for example, such as "skin allergy condition characteristics: whether there are rashes such as erythema, papules, wheals, etc., the distribution location (such as face, limbs, trunk, etc.), size, shape, color of the rash. The degree of skin itching (mild, moderate, severe), the onset time of itching (continuous, intermittent), whether there are scratches, skin damage, etc.", etc.

[0073] Based on the above, this embodiment provides a personalized data basis for auxiliary allergy diagnosis through real-time allergy data.

[0074] Specifically, the process of generating real-time auxiliary diagnosis results includes:

[0075] Access to real-time allergy data and analysis results database;

[0076] The real-time allergy data is matched in the auxiliary diagnosis data set, and based on the matching results, the corresponding allergy type and any one or more of the corresponding allergy symptoms, triggering factors, countermeasures and treatment plans are obtained and packaged and output as real-time auxiliary diagnosis results.

[0077] It should be noted that the present embodiment utilizes real-time allergy data to match the auxiliary diagnosis data set using existing natural language processing technology to achieve semantic recognition of real-time allergy condition features, thereby performing matching based on semantic similarity in the auxiliary diagnosis data set. For example, if the real-time allergy data is described as "after the child came into contact with pollen, he had symptoms of frequent sneezing, runny nose, and red and itchy eyes", after the semantic features are extracted using natural language processing technology, it has a high semantic similarity with "pollen allergy" in the auxiliary diagnosis data set, and the corresponding countermeasures and treatment plans are matched based on this.

[0078] Furthermore, the real-time allergy data of this embodiment may also be the anti-allergy measures that the infant has already taken, thereby matching the corresponding trigger factors using the auxiliary diagnosis data set to help the patient and / or the patient's family avoid the corresponding trigger factors in advance.

[0079] Based on the above, this embodiment realizes the autonomous generation of auxiliary diagnosis results by analyzing the result database, provides a data basis for allergy prevention treatment, and improves the professionalism and intelligence of allergy auxiliary diagnosis.

[0080] Specifically, the process of generating real-time auxiliary diagnosis results also includes:

[0081] The real-time auxiliary diagnosis results are processed using text generation technology to obtain anti-allergy response measures.

[0082] It should be noted that this embodiment uses existing text generation technology to generate text for real-time auxiliary diagnosis results, thereby improving the interpretability of real-time auxiliary diagnosis results.

[0083] Based on the above, this embodiment provides patients and / or their families with easier-to-understand auxiliary diagnosis instructions through anti-allergy measures.

[0084] Specifically, the process of generating real-time feedback data includes:

[0085] Patients and / or their families obtain real-time auxiliary diagnosis results;

[0086] Use real-time auxiliary diagnosis results to take anti-allergy measures for patients;

[0087] Patients and / or their families provide feedback on the effectiveness of real-time auxiliary diagnosis results based on the implementation results of allergy prevention measures, and the effectiveness output is defined as real-time feedback data; the effectiveness is used to characterize the quality of the implementation results of allergy prevention measures.

[0088] It should be noted that the effectiveness of this embodiment is specifically the user's satisfaction score for the patient's symptom improvement after the use of real-time auxiliary diagnosis results, and the effectiveness is 0 or a negative number. When it is a negative number, it means that the correspondence between the auxiliary diagnosis data set, the allergy data and the corresponding auxiliary diagnosis results needs to be updated. For example, satisfaction is 0 points, relatively satisfied is -1 point, and dissatisfied is -2 points.

[0089] Based on the above, the present embodiment provides a data basis for updating the analysis result database through real-time feedback data.

[0090] Specifically, the update process includes:

[0091] Real-time feedback data is obtained to obtain validity, and the correspondence between the auxiliary diagnosis data set and the allergy data and the corresponding auxiliary diagnosis results is updated based on the validity.

[0092] As a preferred implementation of this embodiment, the corresponding correlation degree between the auxiliary diagnosis data set and the allergy data and the corresponding auxiliary diagnosis results is characterized by a preset corresponding score. For example, as recorded in the table, "Symptom description: erythema and itching on the skin, triggering factor: pet hair, auxiliary diagnosis result: pet hair allergy, corresponding score: 80", the corresponding score is corrected by obtaining the aforementioned validity, thereby realizing the update of the analysis database, thereby providing the generation of real-time auxiliary diagnosis results based on statistical characteristics on the basis of the aforementioned semantic similarity matching.

[0093] As a preferred implementation of this embodiment, a matching formula is used to match auxiliary diagnosis results when generating real-time auxiliary diagnosis results. The matching formula is specifically:

[0094] j out =max(SS ij +e α *CS ij )

[0095] Among them, j out Indicates the real-time auxiliary diagnosis result of the matching output, max() is the maximum value operator, SS ij is the semantic similarity between data i in the real-time allergy data and data j in the analysis result database, e is the natural base, α is the feedback data amplification parameter, CS ijis the corresponding score of data i in the real-time allergy data and data j in the analysis result database, and when the statistically obtained corresponding score correction frequency is greater than the preset threshold, α=1, otherwise α=0. The threshold is an empirical value formulated based on the experience known to those skilled in the art. For example, if 3 out of 10 generated real-time auxiliary diagnosis results are negative, it is determined that the corresponding scores in these ten matches are unreasonable, and the corresponding score correction frequency of 30% at this time is the threshold. In this regard, this embodiment realizes the optimization of the generation of real-time auxiliary diagnosis results based on statistical characteristics.

[0096] Based on the above, this embodiment provides a data basis for updating the analysis database through feedback data.

[0097] In a second aspect, this embodiment discloses Figure 2 A system for assisting in diagnosing allergies based on an analysis result database is shown, and the system is applicable to the method for assisting in diagnosing allergies based on an analysis result database as described above, and the system comprises:

[0098] An analysis result database construction module, the analysis result database construction module is configured to: construct an analysis result database using the auxiliary diagnosis data set, allergy data and corresponding auxiliary diagnosis results and feedback data;

[0099] a real-time allergy data generation module, the real-time allergy data generation module being configured to generate real-time allergy data using a diagnostic questionnaire;

[0100] A real-time auxiliary diagnosis result generation module, the real-time auxiliary diagnosis result generation module is configured to generate a real-time auxiliary diagnosis result using the real-time allergy data and the analysis result database;

[0101] A real-time feedback data generation module, the real-time feedback data generation module is configured to obtain real-time feedback data corresponding to the real-time auxiliary diagnosis result;

[0102] An analysis result database updating module, wherein the analysis result database updating module is configured to perform an update process on the analysis result database using the real-time feedback data;

[0103] The auxiliary diagnosis data set includes allergy types and corresponding allergic symptoms, trigger factors, countermeasures and treatment plans, as well as corresponding allergy type characteristics and corresponding allergy symptom characteristics, trigger factor characteristics, countermeasures characteristics and treatment plan characteristics; the diagnostic questionnaire includes corresponding allergy survey questions obtained based on the auxiliary diagnosis data set; allergy data is used to characterize the user's allergic condition; the auxiliary diagnosis results are used to characterize the judgment of the user's allergic condition and the corresponding basis and anti-allergic countermeasures; feedback data is used to characterize the user's satisfaction with the auxiliary diagnosis results.

[0104] It should be noted that the system for auxiliary diagnosis of allergies based on analysis result database of this embodiment corresponds to the aforementioned method for auxiliary diagnosis of allergies based on analysis result database. Therefore, the parts that are not specifically described in the system for auxiliary diagnosis of allergies based on analysis result database, including but not limited to technical effects, specific technical means, etc., can be correspondingly referred to the specific records in the aforementioned method for auxiliary diagnosis of allergies based on analysis result database, and this text will not go into details here.

[0105] A terminal device disclosed in the third aspect of this embodiment includes: at least one processor and at least one memory, which is communicatively connected to the processor; the memory stores a computer program that can be executed by the processor, and when the computer program is executed by the processor, the method for auxiliary diagnosis of allergies based on the analysis result database as described above is implemented.

[0106] Similarly, it should be noted that the terminal device of this embodiment corresponds to the aforementioned method for auxiliary diagnosis of allergies based on analysis result database. Therefore, the parts that are not specifically described in the terminal device, including but not limited to technical effects, specific technical means, etc., can be correspondingly referred to in the specific records in the aforementioned method for auxiliary diagnosis of allergies based on analysis result database, and this text will not go into details here.

[0107] In summary, the method, system and terminal for auxiliary diagnosis of allergies based on the analysis result database of this embodiment provide a technical basis and data basis for auxiliary diagnosis of allergies through the analysis result database, improve the comprehensiveness and practicality of auxiliary diagnosis of allergies, use diagnostic questionnaires to provide data reference for generating allergy data, improve the pertinence of allergy data, and realize the autonomous generation of auxiliary diagnosis results in combination with the analysis result database, provide a data basis for allergy prevention treatment, improve the professionalism and intelligence of auxiliary diagnosis of allergies, and provide data reference for updating the analysis result database through feedback data.

[0108] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0109] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for assisting in diagnosing allergies based on an analysis result database, characterized in that: The method includes: S1: Construct an analysis result database using auxiliary diagnosis data sets, allergy data, and corresponding auxiliary diagnosis results and feedback data; S2: Generate real-time allergy data using diagnostic questionnaires; S3: Generate a real-time auxiliary diagnosis result using the real-time allergy data and the analysis result database; S4: Acquiring real-time feedback data corresponding to the real-time auxiliary diagnosis result; S5: using the real-time feedback data to update the analysis result database; The auxiliary diagnosis data set includes allergy types and corresponding allergic symptoms, trigger factors, countermeasures and treatment plans and corresponding allergy type characteristics and corresponding allergy symptom characteristics, trigger factor characteristics, countermeasures characteristics and treatment plan characteristics; the diagnostic questionnaire includes corresponding allergy survey questions obtained based on the auxiliary diagnosis data set; the allergy data is used to characterize the user's allergic condition; the auxiliary diagnosis result is used to characterize the judgment of the user's allergic condition and the corresponding basis and anti-allergic countermeasures; the feedback data is used to characterize the user's satisfaction with the auxiliary diagnosis result.

2. The method for auxiliary diagnosis of allergy based on analysis result database according to claim 1, characterized in that: The construction process of the analysis result database includes: Storing the existing allergy types and corresponding allergy symptoms, triggering factors, coping measures and treatment plans in the analysis result database; Feature extraction technology is used to extract features of existing allergy types and corresponding allergic symptoms, trigger factors, countermeasures and treatment plans, to obtain the corresponding allergy type characteristics and the corresponding allergy symptom characteristics, trigger factor characteristics, countermeasure characteristics and treatment plan characteristics, and the corresponding allergy type characteristics and the corresponding allergy symptom characteristics, trigger factor characteristics, countermeasure characteristics and treatment plan characteristics are stored in the analysis result database.

3. The method for auxiliary diagnosis of allergy based on analysis result database according to claim 1, characterized in that: The generation process of the diagnostic questionnaire includes: Access real-time patient information and a library of preset allergy survey questions; Using the real-time patient information to match the corresponding allergy survey questions in the allergy survey question library, and generating the diagnostic questionnaire based on the allergy survey questions; The patient information includes at least gender, age, height, weight, allergy history and real-time allergy symptoms; the allergy survey question library stores the allergy survey questions corresponding to the patient information and the auxiliary diagnosis data set.

4. The method for auxiliary diagnosis of allergy based on analysis result database according to claim 1, characterized in that: The process of generating the real-time allergy data includes: Feature extraction technology is used to extract features from the answers to the diagnostic questionnaire to obtain real-time allergy situation features corresponding to the auxiliary diagnosis data set, and the real-time allergy situation features are packaged and output and defined as the real-time allergy data.

5. The method for auxiliary diagnosis of allergy based on analysis result database according to claim 1, characterized in that: The process of generating the real-time auxiliary diagnosis result includes: Acquiring the real-time allergy data and the analysis result database; The real-time allergy data is matched in the auxiliary diagnosis data set, and based on the matching result, the corresponding allergy type and any one or more of the corresponding allergy symptoms, triggering factors, coping measures and treatment plans are obtained and packaged and output as the real-time auxiliary diagnosis result.

6. The method for auxiliary diagnosis of allergy based on analysis result database according to claim 5, characterized in that: The process of generating the real-time auxiliary diagnosis result also includes: The real-time auxiliary diagnosis results are processed using text generation technology to obtain the anti-allergy measures.

7. The method for auxiliary diagnosis of allergy based on analysis result database according to claim 1, characterized in that: The process of generating the real-time feedback data includes: The patient and / or the patient's family obtains the real-time auxiliary diagnosis results; Using the real-time auxiliary diagnosis results to take the allergy prevention measures for the patient; The patient and / or the patient's family provides feedback on the effectiveness of the real-time auxiliary diagnosis result based on the implementation results of the anti-allergy countermeasures, and the effectiveness output is defined as the real-time feedback data; the effectiveness is used to characterize the quality of the implementation results of the anti-allergy countermeasures.

8. The method for auxiliary diagnosis of allergy based on analysis result database according to claim 7, characterized in that: The processing of the update process includes: The real-time feedback data is acquired to obtain the validity, and the corresponding relationship between the auxiliary diagnosis data set and the allergy data and the corresponding auxiliary diagnosis results is updated based on the validity.

9. A system for assisting in diagnosing allergies based on an analysis result database, the system being applicable to the method for assisting in diagnosing allergies based on an analysis result database as claimed in any one of claims 1 to 8, characterized in that: The system includes: An analysis result database construction module, wherein the analysis result database construction module is configured to: construct an analysis result database using the auxiliary diagnosis data set, the allergy data, and the corresponding auxiliary diagnosis results and feedback data; a real-time allergy data generating module, the real-time allergy data generating module being configured to generate real-time allergy data using a diagnostic questionnaire; A real-time auxiliary diagnosis result generating module, wherein the real-time auxiliary diagnosis result generating module is configured to generate a real-time auxiliary diagnosis result using the real-time allergy data and the analysis result database; A real-time feedback data generation module, wherein the real-time feedback data generation module is configured to obtain real-time feedback data corresponding to the real-time auxiliary diagnosis result; An analysis result database updating module, wherein the analysis result database updating module is configured to perform an update process on the analysis result database using the real-time feedback data; The auxiliary diagnosis data set includes allergy types and corresponding allergic symptoms, trigger factors, countermeasures and treatment plans and corresponding allergy type characteristics and corresponding allergy symptom characteristics, trigger factor characteristics, countermeasures characteristics and treatment plan characteristics; the diagnostic questionnaire includes corresponding allergy survey questions obtained based on the auxiliary diagnosis data set; the allergy data is used to characterize the user's allergic condition; the auxiliary diagnosis result is used to characterize the judgment of the user's allergic condition and the corresponding basis and anti-allergic countermeasures; the feedback data is used to characterize the user's satisfaction with the auxiliary diagnosis result.

10. A terminal device, characterized in that: include: at least one processor and at least one memory, the memory being communicatively connected to the processor; The memory stores a computer program that can be executed by the processor. When the computer program is executed by the processor, the method for auxiliary diagnosis of allergies based on the analysis result database as described in any one of claims 1 to 8 is implemented.

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