A trigeminal neuralgia treatment intelligent service system and method

Abstract

The present invention provides an intelligent service system and method for treating trigeminal neuralgia, wherein the system includes: a first service module for generating a language selection map based on the patient's multimodal information when a patient inputs a trigeminal neuralgia treatment service request, and displaying the language selection map to the patient; a second service module for matching the patient with available online doctors when the patient inputs a question based on the language selection map, and displaying the question to the available online doctors; and a third service module for displaying the reply to the patient when the available online doctors input a reply. The present invention enables online communication between trigeminal neuralgia patients and doctors, improving convenience; the introduction of the language selection map allows patients to quickly input question language based on the language selection map with the assistance of the system, without having to speak, improving the system's applicability to situations where trigeminal neuralgia attacks may cause patients to be unable to speak normally.

Description

Technical Field

[0001] The present invention relates to the technical field of treatment services, and in particular to an intelligent service system and method for treating trigeminal neuralgia. Background Art

[0002] Trigeminal neuralgia is a common brain nerve disease. Treatment for trigeminal neuralgia is long, and patients need to maintain communication with their doctor during treatment and recovery. Doctors can make the latest diagnosis and treatment decisions based on the patient's new symptoms.

[0003] However, when patients want to communicate with doctors, they often need to go to the hospital, which is rather cumbersome.

[0004] In addition, when patients communicate with doctors, it is mostly when they experience an attack of trigeminal neuralgia. However, the trigeminal nerve is the nerve responsible for managing facial sensation and movement. Its dysfunction may cause weak or loss of control of oral muscle contraction, which in turn affects the ability to open the mouth. The patient cannot speak normally, which affects the patient's communication with the doctor.

[0005] Therefore, a solution is urgently needed. Summary of the Invention

[0006] One of the purposes of the present invention is to provide an intelligent service system for the treatment of trigeminal neuralgia. By displaying the patient's question language to an online idle doctor, and displaying the reply language of the online idle doctor to the patient, online communication between trigeminal neuralgia patients and doctors is achieved, and patients do not need to go to the hospital frequently, which improves convenience. Secondly, a language quick selection map is introduced. With the assistance of the system, patients can quickly input question language based on the language quick selection map without speaking, which improves the applicability of the system in situations where trigeminal neuralgia attacks may cause patients to be unable to speak normally.

[0007] An embodiment of the present invention provides an intelligent service system for treating trigeminal neuralgia, comprising:

[0008] The first service module is configured to generate a language speed selection graph based on the patient's multimodal information when the patient inputs a trigeminal neuralgia treatment service request, and display the language speed selection graph to the patient;

[0009] The second service module is used to assist patients in inputting question language based on the language speed selection map, match patients with available online doctors, and display the question language to available online doctors;

[0010] The third service module is configured to display the reply language to the patient when the online idle doctor inputs a reply language to the question language.

[0011] Preferably, the trigeminal neuralgia treatment intelligent service system further includes:

[0012] The fourth service module includes:

[0013] Obtain patient condition information from patients;

[0014] Determine a personalized rehabilitation plan for trigeminal neuralgia based on the patient's condition information; wherein the personalized rehabilitation plan for trigeminal neuralgia is a rehabilitation plan for external ear drops or post-auricular smear therapy using the traditional Chinese medicine Sanchaqing;

[0015] Patients are shown a personalized rehabilitation program for trigeminal neuralgia.

[0016] Preferably, the first service module generates a language quick selection map based on the patient's multimodal information, including:

[0017] Based on the pre-trained service demand prediction model, the patient's multiple service needs and corresponding demand probabilities are predicted according to multimodal information;

[0018] Sort each service demand by demand probability from large to small to obtain a service demand sequence;

[0019] Set the i-th service demand in the service demand sequence to the master node of the i-th level in the initial graph; i = 1, 2, 3, ..., N; N is the total number of service demands in the service demand sequence;

[0020] The multiple candidate languages pre-associated with the i-th service requirement in the service requirement sequence are respectively set on each child node of the i-th level in the initial graph; each child node is set with a candidate language; in the initial graph, each child node of the same level is connected to the main node, and the smaller the level, the higher the priority of display for the service requirements set on the main node of the corresponding level and the candidate languages set on each child node;

[0021] Eliminate the main nodes without service requirements and subnodes without language selection in the initial graph;

[0022] Use the current initial map as the language quick selection map.

[0023] Preferably, the second service module assists the patient in inputting question language based on the language quick selection atlas, including:

[0024] When the patient selects at least one candidate language from the language selection map within a first time period and inputs a question completion instruction, a question language is generated based on a first language logic pre-associated between the candidate languages selected by the patient from the language selection map within the first time period; the first time period is a time period of a first duration before the patient views the language selection map;

[0025] When the patient does not select any candidate language from the language speed selection atlas within the first time period, obtaining a viewing angle sequence of the patient viewing the language speed selection atlas within the first time period;

[0026] Based on a clustering condition, dividing the plurality of first perspectives in the viewing perspective sequence into at least one perspective cluster;

[0027] Obtaining the service requirements and candidate languages visible in the overlapping perspectives of various first perspectives in the same perspective cluster in the language quick selection graph, and using them as the first target content;

[0028] generating a viewing angle constraint condition based on the first target content;

[0029] Based on the perspective constraint condition, a perspective constraint is imposed on a second perspective of the patient viewing the language speed selection atlas within a second time period; the second time period is a second time period of length that is after the first time period and adjacent to the second time period;

[0030] When the patient selects at least one candidate language from the language selection map within the second time period and inputs a question completion instruction, a question language is generated based on the second language logic pre-associated between the candidate languages selected by the patient from the language selection map within the second time period;

[0031] The clustering conditions include:

[0032] The same perspective cluster contains at least a threshold number of consecutive first perspectives in the viewing perspective sequence;

[0033] and,

[0034] The overlap between any two adjacent first perspectives in the same perspective cluster is greater than or equal to the overlap threshold;

[0035] The viewing angle constraints include:

[0036] When the second target content is about to be visible in the second viewing angle for the first time, the second target content is constrained to be invisible in the second viewing angle; the second target content is other service requirements and candidate languages that have a pre-associated content association relationship with the first target content in the language quick selection graph.

[0037] Preferably, the second service module matches patients with available online doctors, including:

[0038] Based on the doctor matching mechanism, patients are matched with online idle doctors from the online idle doctor database.

[0039] Preferably, the trigeminal neuralgia treatment intelligent service system further includes:

[0040] The fourth service module includes:

[0041] When a patient enters a video consultation request, the online available doctors are asked whether they agree to the video consultation request;

[0042] When the online available doctor agrees to the video consultation request, the online available doctor will conduct a video consultation with the patient.

[0043] An embodiment of the present invention provides a smart service method for treating trigeminal neuralgia, comprising:

[0044] When a patient inputs a request for trigeminal neuralgia treatment services, a language speed selection map is generated based on the patient's multimodal information and displayed to the patient;

[0045] Assist patients to input question language based on language quick selection map, match patients with available online doctors, and display the question language to available online doctors;

[0046] When the online available doctor inputs a reply language in reply to the question language, the reply language is displayed to the patient.

[0047] Preferably, the generating of a language quick selection atlas based on the multimodal information of the patient includes:

[0048] Based on the pre-trained service demand prediction model, the patient's multiple service needs and corresponding demand probabilities are predicted according to multimodal information;

[0049] Sort each service demand by demand probability from large to small to obtain a service demand sequence;

[0050] Set the i-th service demand in the service demand sequence to the master node of the i-th level in the initial graph; i = 1, 2, 3, ..., N; N is the total number of service demands in the service demand sequence;

[0051] The multiple candidate languages pre-associated with the i-th service requirement in the service requirement sequence are respectively set on each child node of the i-th level in the initial graph; each child node is set with a candidate language; in the initial graph, each child node of the same level is connected to the main node, and the smaller the level, the higher the priority of display for the service requirements set on the main node of the corresponding level and the candidate languages set on each child node;

[0052] Eliminate the main nodes without service requirements and subnodes without language selection in the initial graph;

[0053] Use the current initial map as the language quick selection map.

[0054] Preferably, the step of assisting the patient to input question language based on the language speed selection atlas includes:

[0055] When the patient selects at least one candidate language from the language selection map within a first time period and inputs a question completion instruction, a question language is generated based on a first language logic pre-associated between the candidate languages selected by the patient from the language selection map within the first time period; the first time period is a time period of a first duration before the patient views the language selection map;

[0056] When the patient does not select any candidate language from the language speed selection atlas within the first time period, obtaining a viewing angle sequence of the patient viewing the language speed selection atlas within the first time period;

[0057] Based on a clustering condition, dividing the plurality of first perspectives in the viewing perspective sequence into at least one perspective cluster;

[0058] Obtaining the service requirements and candidate languages visible in the overlapping perspectives of various first perspectives in the same perspective cluster in the language quick selection graph, and using them as the first target content;

[0059] generating a viewing angle constraint condition based on the first target content;

[0060] Based on the perspective constraint condition, a perspective constraint is imposed on a second perspective of the patient viewing the language speed selection atlas within a second time period; the second time period is a second time period of length that is after the first time period and adjacent to the second time period;

[0061] When the patient selects at least one candidate language from the language selection map within the second time period and inputs a question completion instruction, a question language is generated based on the second language logic pre-associated between the candidate languages selected by the patient from the language selection map within the second time period;

[0062] The clustering conditions include:

[0063] The same perspective cluster contains at least a threshold number of consecutive first perspectives in the viewing perspective sequence;

[0064] and,

[0065] The overlap between any two adjacent first perspectives in the same perspective cluster is greater than or equal to the overlap threshold;

[0066] The viewing angle constraints include:

[0067] When the second target content is about to be visible in the second viewing angle for the first time, the second target content is constrained to be invisible in the second viewing angle; the second target content is other service requirements and candidate languages that have a pre-associated content association relationship with the first target content in the language quick selection graph.

[0068] Preferably, matching the patient with an online available doctor includes:

[0069] Based on the doctor matching mechanism, patients are matched with online idle doctors from the online idle doctor database.

[0070] Preferably, the trigeminal neuralgia treatment smart service method further includes:

[0071] When a patient enters a video consultation request, the online available doctors are asked whether they agree to the video consultation request;

[0072] When the online available doctor agrees to the video consultation request, the online available doctor will conduct a video consultation with the patient.

[0073] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purposes and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0074] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0076] Figure 1 A schematic diagram of a smart service system for treating trigeminal neuralgia according to an embodiment of the present invention;

[0077] Figure 2 This is a schematic diagram of an intelligent service method for treating trigeminal neuralgia in an embodiment of the present invention. DETAILED DESCRIPTION

[0078] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0079] The embodiment of the present invention provides a trigeminal neuralgia treatment intelligent service system, such as Figure 1 As shown, including:

[0080] The first service module 1 is configured to generate a language selection graph based on the patient's multimodal information when the patient inputs a trigeminal neuralgia treatment service request, and display the language selection graph to the patient;

[0081] The second service module 2 is used to assist patients in inputting question language based on the language quick selection map, match patients with available online doctors, and display the question language to available online doctors;

[0082] The third service module 3 is configured to display the reply language to the patient when the online idle doctor inputs a reply language to the question language.

[0083] The working principle and beneficial effects of the above technical solution are:

[0084] When a patient inputs a request for trigeminal neuralgia treatment service, it indicates that the patient wants to obtain trigeminal neuralgia treatment service; the patient's multimodal information includes: the patient's historical symptom information corresponding to trigeminal neuralgia, historical medication information, historical examination report information, etc.; based on the multimodal information, the patient's relevant service needs for requesting trigeminal neuralgia treatment service can be predicted, and a language quick selection map can be generated. There are a large number of candidate languages that meet the patient's service needs in the language quick selection map. With the assistance of the system, the patient can quickly select some candidate languages to form a question language; after obtaining the question language, the patient is matched with an online idle doctor, and the question language is displayed to the online idle doctor; after seeing the question language, the online idle doctor combines his or her own experience in trigeminal neuralgia treatment and inputs a reply language to the question language; after obtaining the reply language, the patient can take corresponding treatment measures by viewing the reply language.

[0085] This application enables online communication between trigeminal neuralgia patients and doctors by displaying the patient's question language to online available doctors and displaying the reply language of the online available doctors to the patient. Patients do not need to go to the hospital frequently, which improves convenience. Secondly, a language quick selection map is introduced. With the assistance of the system, patients can quickly input question language based on the language quick selection map without speaking, which improves the applicability of the system in situations where trigeminal neuralgia attacks may cause patients to be unable to speak normally.

[0086] In one embodiment, the trigeminal neuralgia treatment intelligent service system further includes:

[0087] The fourth service module includes:

[0088] Obtain patient condition information from patients;

[0089] Determine a personalized rehabilitation plan for trigeminal neuralgia based on the patient's condition information; wherein the personalized rehabilitation plan for trigeminal neuralgia is a rehabilitation plan for external ear drops or post-auricular smear therapy using the traditional Chinese medicine Sanchaqing;

[0090] Patients are shown a personalized rehabilitation program for trigeminal neuralgia.

[0091] It is also possible to obtain the patient's condition information, such as medical history, age, historical medication, etc.; determine a personalized rehabilitation plan based on the patient's condition information; and display the personalized rehabilitation plan to the patient so that the patient can receive corresponding treatment based on the personalized rehabilitation plan.

[0092] Among them, the rehabilitation plan for external use of the Chinese medicine Sanchaqing ear drops or behind-the-ear smear therapy is as follows:

[0093] To treat trigeminal neuralgia, use Sanchaqing ear drops therapy. Drop the medicine into the external auditory canal, 1-5 drops each time (60 drops for 10 ml) depending on the severity of the condition, once in the morning and once in the evening. Keep the medicine on the occipital bone for 10-15 minutes after each drop. After the active ingredients of the medicine are absorbed, wipe it with a medical cotton swab.

[0094] The specific treatment process was as follows: During the first week, ear drops were administered twice daily, morning and evening, with one drop (60 drops / 10 ml) applied to the right ear in the morning and the left ear at night. The drops were placed into the external auditory canal and held for 15 minutes. After the active ingredients were absorbed, the remaining liquid in the external auditory canal was wiped clean with a medical cotton swab. After one week of treatment, the pain intensity and frequency of pain were significantly reduced, and the trigger pain was reduced. Starting in the second week, two drops were applied each time, and the pain symptoms significantly improved. The daily carbamazepine dosage was reduced from 1.2g to 1.0g. Starting in the third week, 3-4 drops were applied each time. By the end of the third course of treatment, carbamazepine was completely discontinued, spontaneous and triggered pain had disappeared, and the trigger points had disappeared. Eating, brushing teeth, washing face, talking, and sleeping were pain-free, and the patient's mental state and daily life returned to normal. Follow-up for four years showed no recurrence.

[0095] In one embodiment, the first service module 1 generates a language quick selection map based on the patient's multimodal information, including:

[0096] Based on the pre-trained service demand prediction model, the patient's multiple service needs and corresponding demand probabilities are predicted according to multimodal information;

[0097] Sort each service demand by demand probability from large to small to obtain a service demand sequence;

[0098] Set the i-th service demand in the service demand sequence to the master node of the i-th level in the initial graph; i = 1, 2, 3, ..., N; N is the total number of service demands in the service demand sequence;

[0099] The multiple candidate languages pre-associated with the i-th service requirement in the service requirement sequence are respectively set on each child node of the i-th level in the initial graph; each child node is set with a candidate language; in the initial graph, each child node of the same level is connected to the main node, and the smaller the level, the higher the priority of display for the service requirements set on the main node of the corresponding level and the candidate languages set on each child node;

[0100] Eliminate the main nodes without service requirements and subnodes without language selection in the initial graph;

[0101] Use the current initial map as the language quick selection map.

[0102] The working principle and beneficial effects of the above technical solution are:

[0103] The service demand prediction model is an artificial intelligence model that is trained on a neural network model based on a large amount of multimodal information of different trigeminal neuralgia patients that are marked with service needs and demand probabilities (for example, based on the patient's historical symptom information, historical medication information, and historical examination report information, the patient's treatment progress can be determined, and it is predicted which symptoms the patient will have under the treatment progress. Solutions to these symptoms are sought as service needs, and demand probabilities are assigned. The service needs and demand probabilities are marked on the patient's historical symptom information, historical medication information, and historical examination report information); the service demand prediction model can predict the patient's multiple service needs and corresponding demand probabilities based on the patient's multimodal information; there are multiple levels in the initial graph, and each level has 1 main node and multiple sub-nodes. Each sub-node at the same level is connected to the main node, and the demand The greater the probability, the smaller the level of the main node where the corresponding service demand is set, and multiple pre-associated candidate languages for the service demand are set on the sub-nodes of the same level, so that patients can view them with priority when viewing; the pre-associated candidate languages for the service demand are languages that patients can choose to express the service demand. For example, if the service demand is how to solve the problem of tearing during a trigeminal neuralgia attack, the corresponding pre-associated candidate languages are "symptoms during the attack", "continuous tearing", "tears lasting about 30 seconds", "tears lasting about 1 minute", etc.; the main nodes without service demand and the sub-nodes without the candidate languages are eliminated from the initial graph; the initial graph after the main nodes that need to set service demand have all service demand set and the sub-nodes that need to set the candidate languages have all the candidate languages set, and the main nodes without service demand and the sub-nodes without the candidate languages are eliminated are used as the language quick selection graph.

[0104] After viewing the language quick selection map in the embodiment of the present invention, the patient first views the service requirements on the main node of a smaller level and the candidate languages on the child nodes of the same level. That is, the patient can preferentially view the candidate languages that have a higher probability of meeting the service requirements of his or her actual needs, and then select the candidate languages according to his or her actual needs to generate the question language. This greatly improves the rationality of the construction of the language quick selection map, improves the efficiency of the patient in inputting the question language, and also improves the patient experience.

[0105] In one embodiment, the second service module 2 assists the patient in inputting question language based on the language quick selection atlas, including:

[0106] When the patient selects at least one candidate language from the language selection map within a first time period and inputs a question completion instruction, a question language is generated based on a first language logic pre-associated between the candidate languages selected by the patient from the language selection map within the first time period; the first time period is a time period of a first duration before the patient views the language selection map;

[0107] When the patient does not select any candidate language from the language speed selection atlas within the first time period, obtaining a viewing angle sequence of the patient viewing the language speed selection atlas within the first time period;

[0108] Based on a clustering condition, dividing the plurality of first perspectives in the viewing perspective sequence into at least one perspective cluster;

[0109] Obtaining the service requirements and candidate languages visible in the overlapping perspectives of various first perspectives in the same perspective cluster in the language quick selection graph, and using them as the first target content;

[0110] generating a viewing angle constraint condition based on the first target content;

[0111] Based on the perspective constraint condition, a perspective constraint is imposed on a second perspective of the patient viewing the language speed selection atlas within a second time period; the second time period is a second time period of length that is after the first time period and adjacent to the second time period;

[0112] When the patient selects at least one candidate language from the language selection map within the second time period and inputs a question completion instruction, a question language is generated based on the second language logic pre-associated between the candidate languages selected by the patient from the language selection map within the second time period;

[0113] The clustering conditions include:

[0114] The same perspective cluster contains at least a threshold number of consecutive first perspectives in the viewing perspective sequence;

[0115] and,

[0116] The overlap between any two adjacent first perspectives in the same perspective cluster is greater than or equal to the overlap threshold;

[0117] The viewing angle constraints include:

[0118] When the second target content is about to be visible in the second viewing angle for the first time, the second target content is constrained to be invisible in the second viewing angle; the second target content is other service requirements and candidate languages that have a pre-associated content association relationship with the first target content in the language quick selection graph.

[0119] The working principle and beneficial effects of the above technical solution are:

[0120] The first duration can be, for example, 20 seconds. If the patient selects at least one candidate language within the first time period, it means that the patient has seen the service requirements and corresponding candidate languages that meet his or her actual needs in the language speed selection map displayed to him or her, and has made a selection. Therefore, based on the first language logic pre-associated between the candidate languages selected by the patient from the language speed selection map within the first time period, the question language is generated. The first language logic is the preset logic between the candidate languages. For example, if the candidate languages are "symptoms during the attack", "continuous tears", and "tears lasting about 30 seconds", the corresponding logic is that the symptoms during the attack are continuous tears and the tears lasting about 30 seconds. When the patient is in the first If no language is selected from the language selection map within the time period, it means that the prediction of service demand is not accurate, and the patient does not see the service demand that meets his or her actual needs in the language selection map displayed to him or her. At this time, the patient needs further assistance; when the patient views the language selection map, viewing perspectives will continue to be generated, and the viewing perspectives will be sorted in the order of generation time to obtain a viewing perspective sequence; in the clustering condition, the number threshold can be, for example: 2; the overlap threshold can be 70%; when the same perspective cluster contains at least the number of consecutive first perspectives in the viewing perspective sequence and the overlap between two adjacent first perspectives in the same perspective cluster is greater than or equal to 10%, the patient will be automatically selected. When the overlap threshold is exceeded, it means that when the patient views the language quick selection atlas from multiple perspectives, the perspective changes are not much different, indicating that the patient is viewing carefully; therefore, through clustering conditions, the multiple first perspectives in the viewing perspective sequence are divided into at least one perspective cluster, and the service needs and the language to be selected under the overlapping perspectives between the first perspectives in the same perspective cluster (the overlapping perspective exists in each first perspective in the same perspective cluster) are the content that the patient views carefully, which serves as the first target content; the second duration of the second time period can be, for example, 30 seconds; the first target content is that the patient views carefully in the first time period but does not make a choice, indicating that the first target content does not meet the patient's actual needs. In the perspective constraint condition, when the second target content has a pre-associated content association relationship with the first target content, it means that if the first target content does not meet the patient's actual service needs, the second target content will not meet the patient's actual service needs. For example, if the first target content is a service need for "symptom description" and the candidate voices are "symptoms during an attack", "continuous tearing", and "tears lasting about 30 seconds", then the second target content with a pre-set content association relationship is a service need for "how to relieve tearing symptoms with medication", etc. (the patient will not directly ask how to use medication without first describing the tearing symptoms in detail to the doctor);The second target content is about to be visible in the second perspective, which means that the second target content is close to the visual range of the second perspective. For example, the straight-line distance from the visual range of the second perspective is less than 10 centimeters. If the second target content is about to be visible in the second perspective for the first time, the second target content is restricted from being visible in the second perspective because the second target content must not meet the patient's actual service needs. However, when the second target content is not about to be visible in the second perspective for the first time, it can be viewed by the patient to avoid system inference errors or prevent the patient from having temporary needs. Similarly, when the patient selects at least one candidate language from the language quick selection map within the second time period and enters the question completion instruction, the question language is generated based on the second language logic pre-associated between the candidate languages selected by the patient from the language quick selection map within the second time period. The second language logic is the same as the first language logic and is not described in detail here.

[0121] When assisting a patient to input a question language based on a language quick selection map, an embodiment of the present invention, if the patient selects a candidate language from the language quick selection map within a first time period, generates a question language based on the candidate language selected by the patient, thereby realizing rapid determination of the question language; in addition, taking into account the situation where the patient's service demand prediction is inaccurate, an emergency assistance means is provided to constrain the second perspective of the patient viewing the language quick selection map within a second time period, so as to prevent the patient from viewing the second target content that does not meet his or her actual service demand as much as possible, thereby greatly improving the rationality of the assistance, improving the applicability of the system, and improving the patient experience.

[0122] In one embodiment, the second service module 2 matches the patient with an available online doctor, including:

[0123] Based on the doctor matching mechanism, patients are matched with online idle doctors from the online idle doctor database.

[0124] Technicians can set up a doctor matching mechanism, for example, matching patients with online available doctors who have historically seen patients.

[0125] In one embodiment, the trigeminal neuralgia treatment intelligent service system further includes:

[0126] The fourth service module includes:

[0127] When a patient enters a video consultation request, the online available doctors are asked whether they agree to the video consultation request;

[0128] When the online available doctor agrees to the video consultation request, the online available doctor will conduct a video consultation with the patient.

[0129] Patients can request a video consultation, and when the online doctor agrees, the online doctor can conduct a video consultation with the patient.

[0130] The embodiment of the present invention provides a trigeminal neuralgia treatment intelligent service method, such as Figure 2 As shown, including:

[0131] S1. When a patient inputs a request for trigeminal neuralgia treatment service, a language selection map is generated based on the patient's multimodal information and displayed to the patient.

[0132] S2. Assisting patients to input question language based on the language quick selection map, matching patients with available online doctors, and displaying the question language to available online doctors;

[0133] S3. When the online idle doctor inputs a reply language in reply to the question language, the reply language is displayed to the patient.

[0134] The method of generating a language quick selection atlas based on the patient's multimodal information includes:

[0135] Based on the pre-trained service demand prediction model, the patient's multiple service needs and corresponding demand probabilities are predicted according to multimodal information;

[0136] Sort each service demand by demand probability from large to small to obtain a service demand sequence;

[0137] Set the i-th service demand in the service demand sequence to the master node of the i-th level in the initial graph; i = 1, 2, 3, ..., N; N is the total number of service demands in the service demand sequence;

[0138] The multiple candidate languages pre-associated with the i-th service requirement in the service requirement sequence are respectively set on each child node of the i-th level in the initial graph; each child node is set with a candidate language; in the initial graph, each child node of the same level is connected to the main node, and the smaller the level, the higher the priority of display for the service requirements set on the main node of the corresponding level and the candidate languages set on each child node;

[0139] Eliminate the main nodes without service requirements and subnodes without language selection in the initial graph;

[0140] Use the current initial map as the language quick selection map.

[0141] The method of assisting the patient to input question language based on the language speed selection atlas includes:

[0142] When the patient selects at least one candidate language from the language selection map within a first time period and inputs a question completion instruction, a question language is generated based on a first language logic pre-associated between the candidate languages selected by the patient from the language selection map within the first time period; the first time period is a time period of a first duration before the patient views the language selection map;

[0143] When the patient does not select any candidate language from the language speed selection atlas within the first time period, obtaining a viewing angle sequence of the patient viewing the language speed selection atlas within the first time period;

[0144] Based on a clustering condition, dividing the plurality of first perspectives in the viewing perspective sequence into at least one perspective cluster;

[0145] Obtaining the service requirements and candidate languages visible in the overlapping perspectives of various first perspectives in the same perspective cluster in the language quick selection graph, and using them as the first target content;

[0146] generating a viewing angle constraint condition based on the first target content;

[0147] Based on the perspective constraint condition, a perspective constraint is imposed on a second perspective of the patient viewing the language speed selection atlas within a second time period; the second time period is a second time period of length that is after the first time period and adjacent to the second time period;

[0148] When the patient selects at least one candidate language from the language selection map within the second time period and inputs a question completion instruction, a question language is generated based on the second language logic pre-associated between the candidate languages selected by the patient from the language selection map within the second time period;

[0149] The clustering conditions include:

[0150] The same perspective cluster contains at least a threshold number of consecutive first perspectives in the viewing perspective sequence;

[0151] and,

[0152] The overlap between any two adjacent first perspectives in the same perspective cluster is greater than or equal to the overlap threshold;

[0153] The viewing angle constraints include:

[0154] When the second target content is about to be visible in the second viewing angle for the first time, the second target content is constrained to be invisible in the second viewing angle; the second target content is other service requirements and candidate languages that have a pre-associated content association relationship with the first target content in the language quick selection graph.

[0155] The process of matching patients with available online doctors includes:

[0156] Based on the doctor matching mechanism, patients are matched with online idle doctors from the online idle doctor database.

[0157] The smart service method for treating trigeminal neuralgia also includes:

[0158] When a patient enters a video consultation request, the online available doctors are asked whether they agree to the video consultation request;

[0159] When the online available doctor agrees to the video consultation request, the online available doctor will conduct a video consultation with the patient.

[0160] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A trigeminal neuralgia treatment intelligent service system, characterized in that: include: The first service module is configured to generate a language speed selection graph based on the patient's multimodal information when the patient inputs a trigeminal neuralgia treatment service request, and display the language speed selection graph to the patient; The second service module is used to assist patients in inputting question language based on the language speed selection map, match patients with available online doctors, and display the question language to available online doctors; The third service module is configured to display the reply language to the patient when the online available doctor inputs a reply language to the question language; The second service module assists the patient in inputting question language based on the language quick selection graph, including: When the patient selects at least one candidate language from the language selection map within a first time period and inputs a question completion instruction, a question language is generated based on a first language logic pre-associated between the candidate languages selected by the patient from the language selection map within the first time period; the first time period is a time period of a first duration before the patient views the language selection map; When the patient does not select any candidate language from the language speed selection atlas within the first time period, obtaining a viewing angle sequence of the patient viewing the language speed selection atlas within the first time period; Based on a clustering condition, dividing the plurality of first perspectives in the viewing perspective sequence into at least one perspective cluster; Obtaining the service requirements and candidate languages visible in the overlapping perspectives of various first perspectives in the same perspective cluster in the language quick selection graph, and using them as the first target content; generating a viewing angle constraint condition based on the first target content; Based on the perspective constraint condition, a perspective constraint is imposed on a second perspective of the patient viewing the language speed selection atlas within a second time period; the second time period is a second time period of length that is after the first time period and adjacent to the second time period; When the patient selects at least one candidate language from the language quick selection map within the second time period and inputs a question completion instruction, a question language is generated based on the second language logic pre-associated between the candidate languages selected by the patient from the language quick selection map within the second time period.

2. The trigeminal neuralgia treatment intelligent service system according to claim 1, characterized in that: Also includes: The fourth service module includes: Obtain patient condition information from patients; Determine a personalized rehabilitation plan for trigeminal neuralgia based on the patient's condition information; wherein the personalized rehabilitation plan for trigeminal neuralgia is a rehabilitation plan for external ear drops or post-auricular smear therapy using the traditional Chinese medicine Sanchaqing; Patients are shown a personalized rehabilitation program for trigeminal neuralgia.

3. The trigeminal neuralgia treatment intelligent service system according to claim 1, characterized in that: The first service module generates a language quick selection map based on the patient's multimodal information, including: Based on the pre-trained service demand prediction model, the patient's multiple service needs and corresponding demand probabilities are predicted according to multimodal information; Sort each service demand by demand probability from large to small to obtain a service demand sequence; Set the i-th service demand in the service demand sequence to the master node of the i-th level in the initial graph; i = 1, 2, 3, ..., N; N is the total number of service demands in the service demand sequence; The multiple candidate languages pre-associated with the i-th service requirement in the service requirement sequence are respectively set on each child node of the i-th level in the initial graph; each child node is set with a candidate language; in the initial graph, each child node of the same level is connected to the main node, and the smaller the level, the higher the priority of display for the service requirements set on the main node of the corresponding level and the candidate languages set on each child node; Eliminate the main nodes without service requirements and subnodes without language selection in the initial graph; Use the current initial map as the language quick selection map.

4. The trigeminal neuralgia treatment intelligent service system according to claim 3, characterized in that: Clustering conditions include: The same perspective cluster contains at least a threshold number of consecutive first perspectives in the viewing perspective sequence; and, The overlap between any two adjacent first perspectives in the same perspective cluster is greater than or equal to the overlap threshold; The viewing angle constraints include: When the second target content is about to be visible in the second viewing angle for the first time, the second target content is constrained to be invisible in the second viewing angle; the second target content is other service requirements and candidate languages that have a pre-associated content association relationship with the first target content in the language quick selection graph.

5. The trigeminal neuralgia treatment intelligent service system according to claim 1, characterized in that: The second service module matches patients with available online doctors, including: Based on the doctor matching mechanism, patients are matched with online idle doctors from the online idle doctor database.

6. The trigeminal neuralgia treatment intelligent service system according to claim 1, characterized in that: Also includes: The fourth service module includes: When a patient enters a video consultation request, the online available doctors are asked whether they agree to the video consultation request; When the online available doctor agrees to the video consultation request, the online available doctor will conduct a video consultation with the patient.

7. A smart service method for treating trigeminal neuralgia, characterized in that: include: When a patient inputs a request for trigeminal neuralgia treatment services, a language speed selection map is generated based on the patient's multimodal information and displayed to the patient; Assist patients to input question language based on language quick selection map, match patients with available online doctors, and display the question language to available online doctors; When the online available doctor inputs a reply language in reply to the question language, the reply language is displayed to the patient; The method of assisting the patient to input question language based on the language speed selection atlas includes: When the patient selects at least one candidate language from the language selection map within a first time period and inputs a question completion instruction, a question language is generated based on a first language logic pre-associated between the candidate languages selected by the patient from the language selection map within the first time period; the first time period is a time period of a first duration before the patient views the language selection map; When the patient does not select any candidate language from the language speed selection atlas within the first time period, obtaining a viewing angle sequence of the patient viewing the language speed selection atlas within the first time period; Based on a clustering condition, dividing the plurality of first perspectives in the viewing perspective sequence into at least one perspective cluster; Obtaining the service requirements and candidate languages visible in the overlapping perspectives of various first perspectives in the same perspective cluster in the language quick selection graph, and using them as the first target content; generating a viewing angle constraint condition based on the first target content; Based on the perspective constraint condition, a perspective constraint is imposed on a second perspective of the patient viewing the language speed selection atlas within a second time period; the second time period is a second time period of length that is after the first time period and adjacent to the second time period; When the patient selects at least one candidate language from the language quick selection map within the second time period and inputs a question completion instruction, a question language is generated based on the second language logic pre-associated between the candidate languages selected by the patient from the language quick selection map within the second time period.

8. The intelligent service method for treating trigeminal neuralgia according to claim 7, characterized in that: The method of generating a language quick selection atlas based on the patient's multimodal information includes: Based on the pre-trained service demand prediction model, the patient's multiple service needs and corresponding demand probabilities are predicted according to multimodal information; Sort each service demand by demand probability from large to small to obtain a service demand sequence; Set the i-th service demand in the service demand sequence to the master node of the i-th level in the initial graph; i = 1, 2, 3, ..., N; N is the total number of service demands in the service demand sequence; The multiple candidate languages pre-associated with the i-th service requirement in the service requirement sequence are respectively set on each child node of the i-th level in the initial graph; each child node is set with a candidate language; in the initial graph, each child node of the same level is connected to the main node, and the smaller the level, the higher the priority of display for the service requirements set on the main node of the corresponding level and the candidate languages set on each child node; Eliminate the main nodes without service requirements and subnodes without language selection in the initial graph; Use the current initial map as the language quick selection map.

9. The intelligent service method for treating trigeminal neuralgia according to claim 8, wherein: Clustering conditions include: The same perspective cluster contains at least a threshold number of consecutive first perspectives in the viewing perspective sequence; and, The overlap between any two adjacent first perspectives in the same perspective cluster is greater than or equal to the overlap threshold; The viewing angle constraints include: When the second target content is about to be visible in the second viewing angle for the first time, the second target content is constrained to be invisible in the second viewing angle; the second target content is other service requirements and candidate languages that have a pre-associated content association relationship with the first target content in the language quick selection graph.

10. The intelligent service method for treating trigeminal neuralgia according to claim 7, wherein: The process of matching patients with available online doctors includes: Based on the doctor matching mechanism, patients are matched with online idle doctors from the online idle doctor database.

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