Knowledge graph-based infertility traditional Chinese medicine auxiliary diagnosis and treatment method and system

Abstract

The invention discloses an infertility traditional Chinese medicine auxiliary diagnosis and treatment method and system based on a knowledge graph, and belongs to the technical field of auxiliary diagnosis and treatment. Constructing a medical case database, and constructing an acupuncture therapy infertility case set; constructing a medical term set for treating the infertility by acupuncture and moxibustion; based on the acupuncture therapy infertility case set and the acupuncture therapy infertility medical term set, constructing a symptom-syndrome-prescription knowledge graph; acquiring symptoms of a patient, and acquiring a diagnosis and treatment scheme corresponding to the symptoms based on a symptom-symptom-prescription knowledge graph; acquiring feedback data of the patient, and calculating a comprehensive score of the diagnosis and treatment scheme; and presetting a comprehensive score threshold, and analyzing and dynamically updating the knowledge graph. According to the method, the knowledge graph is constructed, and the symptoms, syndrome types and acupuncture prescriptions of the infertility patients are represented in a structured form, so that the standardization and interpretability of the diagnosis and treatment scheme can be improved, the optimization of the diagnosis and treatment scheme can be realized through a dynamic updating mechanism, and a scientific and intelligent solution is provided for traditional Chinese medicine auxiliary diagnosis and treatment of infertility.

Description

Technical Field

[0001] The present invention relates to the technical field of auxiliary diagnosis and treatment, and particularly to a traditional Chinese medicine auxiliary diagnosis and treatment method and system for infertility based on a knowledge graph. Background Art

[0002] In recent years, traditional Chinese medicine acupuncture treatment has achieved remarkable results in improving infertility and has received extensive attention in the clinical medical field; infertility, as one of the main problems affecting global fertility, has complex and diverse causes, including endocrine disorders, pelvic inflammation, and immune function abnormalities; traditional Chinese medicine acupuncture, with its personalized and holistic diagnosis and treatment characteristics, shows unique advantages in the treatment of infertility; however, in the selection and optimization of the diagnosis and treatment plan, the traditional Chinese medicine acupuncture treatment method still mainly relies on the experience and intuition of clinicians, which to a certain extent restricts its standardized and scientific development; at the same time, with the rise of artificial intelligence technology, the knowledge graph, as an intelligent analysis technology based on structured data, is emerging in the medical field; the knowledge graph can reveal the association between diseases and treatment methods by integrating and analyzing a large amount of heterogeneous data, providing intuitive support for medical decision-making.

[0003] The existing traditional Chinese medicine acupuncture diagnosis and treatment methods mainly have the following problems: First, there is a lack of an effective knowledge integration mechanism, making it difficult to fully utilize the valuable resources in ancient and modern traditional Chinese medicine literature and modern clinical data; this leads to the situation that doctors may face the dilemma of information redundancy or insufficiency during the diagnosis and treatment process, affecting the scientific nature of the diagnosis and treatment decision-making; second, the level of personalization of the diagnosis and treatment plan is relatively low, and the existing methods are mainly based on experience, making it difficult to dynamically adjust according to the feedback data of patients, which may lead to instability in the treatment effect; in addition, the existing technology fails to establish a dynamic association model for patient symptoms, syndromes, and treatment plans, making it difficult to provide accurate auxiliary diagnosis and treatment support. Summary of the Invention

[0004] The purpose of the present invention is to provide a traditional Chinese medicine auxiliary diagnosis and treatment method and system for infertility based on a knowledge graph to solve the problems raised in the above background art.

[0005] To solve the above technical problems, the present invention provides the following technical solutions:

[0006] A traditional Chinese medicine assisted diagnosis and treatment method for infertility based on a knowledge graph, the method comprising the following steps: constructing a medical case database, extracting acupuncture treatment cases for infertility, and constructing a set of acupuncture treatment cases for infertility; constructing a set of medical terms for acupuncture treatment of infertility; based on the set of acupuncture treatment cases for infertility and the set of medical terms for acupuncture treatment of infertility, constructing a symptom-syndrome-prescription knowledge graph; obtaining the symptoms of a patient, and based on the symptom-syndrome-prescription knowledge graph, obtaining a diagnosis and treatment plan corresponding to the symptoms; obtaining feedback data of the patient, and calculating a comprehensive score of the diagnosis and treatment plan; presetting a comprehensive score threshold, and analyzing and dynamically updating the symptom-syndrome-prescription knowledge graph.

[0007] As a preferred embodiment of the traditional Chinese medicine assisted diagnosis and treatment method for infertility based on a knowledge graph of the present invention, a medical case database is constructed, and the medical case database records multi-source acupuncture cases based on ancient and modern Chinese medical literature and modern clinical practice; using natural language processing technology, extracting acupuncture cases with the keyword of infertility from the medical case database, and marking the acupuncture cases as acupuncture treatment cases for infertility, and constructing a set of acupuncture treatment cases for infertility.

[0008] Based on professional medical term materials (the professional medical term materials include "Terms of Traditional Chinese Medicine Clinical Diagnosis and Treatment", "Terms of Traditional Chinese Medicine", "International Classification of Diseases, 11th Revision (ICD-11)", etc.), extracting professional medical terms based on the acupuncture treatment cases for infertility, and constructing a set of medical terms for acupuncture treatment of infertility.

[0009] It should be noted that in actual clinical practice, a rich case database can provide more references and inspirations for doctors. For example, when encountering an infertility patient with specific symptoms, a doctor can query the case database to understand the treatment methods and effects of other similar patients, so as to broaden the treatment ideas and improve the accuracy and effectiveness of diagnosis and treatment; a standardized medical term set enables better communication and information sharing among different medical institutions and doctors. For example, in academic exchanges or multi-center clinical research, unified terms can ensure that all parties have the same understanding of diseases, syndromes, and treatment methods, and promote cooperation and knowledge dissemination.

[0010] As a preferred embodiment of the traditional Chinese medicine assisted diagnosis and treatment method for infertility based on a knowledge graph of the present invention, a symptom-syndrome-prescription knowledge graph is constructed as follows:

[0011] The top-level classification structure of the symptom-syndrome-prescription knowledge graph includes symptoms, syndromes, and prescriptions. The symptoms represent symptoms (such as irregular menstruation, soreness and weakness of the waist and knees, etc.), the syndromes represent the classification and pathogenesis description of syndromes (such as spleen-kidney yang deficiency syndrome, liver depression syndrome, etc.), and the prescriptions represent the acupuncture prescriptions adopted for different syndrome types (including acupoint selection, acupuncture manipulation, etc.).

[0012] Fill the symptom-syndrome-prescription knowledge graph from the bottom up, as follows:

[0013] The cases of acupuncture treatment for infertility are analyzed, and the symptoms of the cases of acupuncture treatment for infertility are marked according to the symptoms (for example, the symptoms of lower abdominal cold pain, chills and cold limbs of the patients are marked as corresponding "symptoms" respectively); based on the medical terminology set of acupuncture treatment for infertility, the syndrome types and acupuncture prescriptions of acupuncture treatment for infertility are marked according to the symptoms and the prescriptions (for example, in a case, the diagnosis is spleen and kidney yang deficiency syndrome, and the acupuncture prescription used is Guanyuan, Qihai, Pishu, Shenshu and other acupoints, and warm needling is applied, and these information are marked as "syndrome" and "prescription" respectively); the marked content is filled into the syndrome-syndrome-prescription knowledge graph.

[0014] The acupuncture treatment of infertility cases are traversed until the annotated contents of all acupuncture treatment of infertility cases are filled into the symptom-syndrome-prescription knowledge graph, and then the traversal is stopped.

[0015] It should be noted that the case of acupuncture treatment for infertility was analyzed in detail, and the symptoms, syndromes and acupuncture prescriptions in the case were annotated according to the classification of symptoms, syndromes and prescriptions, and the annotated content was filled into the knowledge graph. This process converts scattered case data into structured knowledge, forming a knowledge network about acupuncture treatment for infertility, which can intuitively show the correlation between symptoms, syndromes and treatment methods; in clinical practice, doctors can quickly query and analyze the relationship between patients' symptoms and possible syndromes and corresponding acupuncture prescriptions through knowledge graphs. For example, when patients have symptoms such as irregular menstruation and sore waist and knees, doctors can find the corresponding syndromes such as spleen and kidney yang deficiency in the knowledge graph, as well as acupoints such as Guanyuan, Qihai, Pishu, Shenshu and treatment methods such as warm needling, so as to formulate personalized diagnosis and treatment plans for patients and improve the efficiency and quality of diagnosis and treatment; for Chinese medicine teaching and training, knowledge graphs can be used as an intuitive and vivid teaching tool. Students can use knowledge maps to better understand the complex relationship between symptoms, syndromes and treatment methods in TCM theory, deepen their understanding of TCM's dialectical thinking and improve their learning outcomes.

[0016] As a preferred solution of the TCM-assisted diagnosis and treatment method for infertility based on a knowledge graph described in the present invention, the symptoms of the patient who needs diagnosis and treatment are obtained, and based on the symptom-syndrome-prescription knowledge graph, the syndrome type and acupuncture prescription corresponding to the symptoms are obtained.

[0017] Taking the syndrome type and acupuncture prescription as a diagnosis and treatment plan, based on the diagnosis and treatment plan, diagnosing and treating the patients in need of diagnosis and treatment. After the diagnosis and treatment, obtaining the feedback data of the patients, where the feedback data includes the subjective scoring data of the patients, the change data of the physiological indicators of the patients, and the change data of the TCM syndrome differentiation indicators. Denote the subjective scoring data, the change data of the physiological indicators, and the change data of the TCM syndrome differentiation indicators of the i-th patient as PSS i 、PPI i and TCM i respectively.

[0018] Based on the subjective scoring data PSS i 、the change data of the physiological indicators PPI i and the change data of the TCM syndrome differentiation indicators TCM i , calculate the comprehensive score of the diagnosis and treatment plan. The calculation formula is as follows:

[0019] DTS i =α×PSS i +β×PPI i +γ×TCM i ;

[0020] where, DTS i represents the comprehensive score of the diagnosis and treatment plan for the i-th patient, α represents the preset weight factor of the subjective scoring data of the patients, β represents the preset weight factor of the change data of the physiological indicators of the patients, and γ represents the preset weight factor of the change data of the TCM syndrome differentiation indicators of the patients.

[0021] It should be noted that according to the symptoms of the patients, based on the constructed symptom-syndrome-prescription knowledge graph, the corresponding syndrome type and acupuncture prescription are obtained and used as the preliminary diagnosis and treatment plan. This makes the diagnosis and treatment process more intelligent and scientific, and can quickly match the corresponding treatment method according to the symptom information of the patients, reducing the time and energy for doctors to search and judge among a large number of cases and knowledge; in actual clinical applications, quickly obtaining the diagnosis and treatment plan through the knowledge graph can improve the timeliness and accuracy of diagnosis and treatment. Especially for doctors with relatively less experience, they can use the reference plan provided by the knowledge graph for diagnosis and treatment to reduce the misdiagnosis rate. At the same time, the calculation of the comprehensive score can help doctors and patients intuitively understand the diagnosis and treatment effect, providing a basis for subsequent treatment adjustment. For example, if the comprehensive score is low, it indicates that the current diagnosis and treatment plan may need to be improved, and doctors can further analyze the reasons and adjust the treatment method or parameters; for medical quality management and research, the comprehensive score can be used as an important indicator to evaluate the effects of different diagnosis and treatment plans. Through the analysis of a large amount of patient data and the statistics of the comprehensive score, more effective diagnosis and treatment plans and methods can be screened out, providing data support and theoretical basis for the optimization and development of TCM clinical practice.

[0022] As a preferred solution of the traditional Chinese medicine assisted diagnosis and treatment method for infertility based on the knowledge graph of the present invention, a comprehensive score threshold is preset. If the comprehensive score DTS of the diagnosis and treatment plan for the i-th patient i is greater than or equal to the comprehensive score threshold, the diagnosis and treatment plan is marked as an effective diagnosis and treatment plan.

[0023] If the comprehensive score DTS of the diagnosis and treatment plan for the i-th patient i is less than the comprehensive score threshold, the diagnosis and treatment plan is marked as an ineffective diagnosis and treatment plan, and the symptom-syndrome-prescription knowledge graph is updated as follows:

[0024] Using the cosine similarity technology, calculate the symptom similarity between the patient's symptoms and the remaining symptoms. Preset a similarity threshold, and mark all the symptoms with symptom similarity greater than the similarity threshold as the associated symptoms of the patient's symptoms;

[0025] Obtain the syndrome types and acupuncture prescriptions corresponding to the associated symptoms, and use them as the associated diagnosis and treatment plans. Calculate the comprehensive scores of the associated diagnosis and treatment plans, sort the comprehensive scores of all the associated symptoms from high to low, and use the associated diagnosis and treatment plan with the highest comprehensive score as the diagnosis and treatment plan for the i-th patient, and update it by adding nodes in the symptom-syndrome-prescription knowledge graph.

[0026] Input the updated symptom-syndrome-prescription knowledge graph into the next round of diagnosis and treatment decision-making process for dynamic update (forming a closed loop through the feedback mechanism to continuously optimize the diagnosis and treatment effect).

[0027] It should be noted that in clinical practice, the dynamic update of the knowledge graph can ensure that it always reflects the latest clinical practice and research results. For example, over time, it may be found that there are associations between certain new symptom combinations and specific syndrome types and treatment methods, or the effects of certain traditional treatment methods have changed in the new clinical environment. Through the update of the knowledge graph, these new knowledge and experiences can be incorporated in a timely manner to provide more accurate references for subsequent diagnosis and treatment; for the inheritance and development of traditional Chinese medicine, this method of updating the knowledge graph based on the feedback mechanism can promote the continuous accumulation and innovation of traditional Chinese medicine knowledge. It can integrate the clinical experience and research results of different doctors into a unified knowledge system, realize the sharing and inheritance of knowledge, and promote the continuous development and progress of traditional Chinese medicine in the modern medical environment.

[0028] A traditional Chinese medicine assisted diagnosis and treatment system for infertility based on the knowledge graph. This system includes: a data set construction module, a knowledge graph construction module, a diagnosis and treatment plan acquisition and score calculation module, and a comprehensive analysis module.

[0029] The dataset construction module: constructs a medical case database, extracts acupuncture treatment infertility cases, and constructs an acupuncture treatment infertility case set; constructs an acupuncture treatment infertility medical terminology set.

[0030] The knowledge graph construction module: constructs a symptom-syndrome-prescription knowledge graph based on the acupuncture treatment infertility case set and the acupuncture treatment infertility medical terminology set.

[0031] The diagnosis and treatment plan acquisition and score calculation module: obtains the patient's symptoms, and based on the symptom-syndrome-prescription knowledge graph, obtains the corresponding diagnosis and treatment plan for the symptoms; obtains the patient's feedback data and calculates the comprehensive score of the diagnosis and treatment plan.

[0032] The comprehensive analysis module: presets a comprehensive score threshold, and analyzes and dynamically updates the symptom-syndrome-prescription knowledge graph.

[0033] Furthermore, the dataset construction module includes an acupuncture treatment infertility case set construction unit and an acupuncture treatment infertility medical terminology set construction unit.

[0034] The acupuncture treatment infertility case set construction unit: constructs a medical case database, which records multi-source acupuncture cases based on ancient and modern Chinese medical literature and modern clinical practice; uses natural language processing technology to extract acupuncture cases with the keyword infertility from the medical case database, and marks the acupuncture cases as acupuncture treatment infertility cases to construct an acupuncture treatment infertility case set.

[0035] The acupuncture treatment infertility medical terminology set construction unit: extracts professional medical terms based on the acupuncture treatment infertility cases from professional medical term materials to construct an acupuncture treatment infertility medical terminology set.

[0036] Furthermore, the knowledge graph construction module includes a knowledge graph construction unit.

[0037] The knowledge graph construction unit: constructs a symptom-syndrome-prescription knowledge graph as follows:

[0038] The top-level classification structure of the symptom-syndrome-prescription knowledge graph includes symptoms, syndromes, and prescriptions. The symptoms represent symptoms, the syndromes represent the classification and pathogenesis description of syndromes, and the prescriptions represent the acupuncture prescriptions adopted for different syndrome types.

[0039] Fill the symptom-syndrome-prescription knowledge graph from bottom to top as follows:

[0040] Analyze the cases of acupuncture treatment for infertility, label the symptoms of the cases of acupuncture treatment for infertility according to the said syndromes; based on the medical terminology set of acupuncture treatment for infertility, label the syndrome types and acupuncture prescriptions of the cases of acupuncture treatment for infertility according to the said syndromes and prescriptions; fill the labeled content into the syndrome-syndrome type-prescription knowledge graph;

[0041] Traverse the cases of acupuncture treatment for infertility until the labeled content of all cases of acupuncture treatment for infertility is filled into the syndrome-syndrome type-prescription knowledge graph, and then stop traversing.

[0042] Furthermore, the diagnosis and treatment plan acquisition and scoring calculation module includes a diagnosis and treatment plan acquisition unit and a scoring calculation unit.

[0043] The diagnosis and treatment plan acquisition unit: acquires the symptoms of the patient to be diagnosed and treated, and based on the syndrome-syndrome type-prescription knowledge graph, acquires the corresponding syndrome types and acupuncture prescriptions of the symptoms.

[0044] Take the syndrome types and acupuncture prescriptions as the diagnosis and treatment plan, and based on the diagnosis and treatment plan, diagnose and treat the patient to be diagnosed and treated. After the diagnosis and treatment, acquire the feedback data of the patient, and the feedback data includes the patient's subjective scoring data, the patient's physiological index change data, and the traditional Chinese medicine syndrome differentiation index change data.

[0045] The scoring calculation unit: calculates the comprehensive score of the diagnosis and treatment plan based on the patient's subjective scoring data, the patient's physiological index change data, and the traditional Chinese medicine syndrome differentiation index change data.

[0046] Furthermore, the comprehensive analysis module includes an analysis unit and a dynamic update unit.

[0047] The analysis unit: preset a comprehensive score threshold. If the comprehensive score of the patient's diagnosis and treatment plan is greater than or equal to the comprehensive score threshold, mark the diagnosis and treatment plan as an effective diagnosis and treatment plan; if the comprehensive score of the patient's diagnosis and treatment plan is less than the comprehensive score threshold, mark the diagnosis and treatment plan as an ineffective diagnosis and treatment plan, and update the syndrome-syndrome type-prescription knowledge graph.

[0048] The dynamic update unit: Using the cosine similarity technique, calculate the symptom similarity between the patient's symptoms and the remaining symptoms, preset a similarity threshold, and mark all symptoms with symptom similarity greater than the similarity threshold as associated symptoms of the patient's symptoms; obtain the syndrome types and acupuncture prescriptions corresponding to the associated symptoms as the associated diagnosis and treatment plans, calculate the comprehensive scores of the associated diagnosis and treatment plans, sort the comprehensive scores of all associated symptoms from high to low, take the associated diagnosis and treatment plan with the highest comprehensive score as the patient's diagnosis and treatment plan, and update it by adding nodes in the symptom-syndrome-prescription knowledge graph; input the updated symptom-syndrome-prescription knowledge graph into the next round of diagnosis and treatment decision-making process for dynamic update.

[0049] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: In a traditional Chinese medicine assisted diagnosis and treatment method and system for infertility based on a knowledge graph provided by the present invention, by constructing a medical case database and a case collection of acupuncture treatment for infertility, and extracting terms based on professional medical term materials to form a standardized medical term set for acupuncture treatment of infertility, it provides a standardized and unified basis for subsequent data processing; construct a symptom-syndrome-prescription knowledge graph based on the case collection and term set, structure the scattered case data, and intuitively display the association between symptoms, syndrome types, and acupuncture prescriptions, facilitating doctors to quickly obtain reference plans and improving the diagnosis and treatment efficiency; by obtaining the patient's symptoms, matching the corresponding syndrome types and treatment plans using the knowledge graph, and calculating the comprehensive score in combination with the patient feedback data, it provides an intuitive basis for evaluating the diagnosis and treatment effect for doctors and optimizes the treatment strategy; by setting a scoring threshold and introducing the cosine similarity technique, dynamically update the knowledge graph, integrate new diagnosis and treatment knowledge and clinical experience into it, form a closed-loop feedback mechanism, ensure that the knowledge graph always reflects the latest research results and clinical practice, and provide support for the continuous optimization of the diagnosis and treatment plan; this method not only improves the level of traditional Chinese medicine diagnosis and treatment of infertility, but also injects intelligent means into the inheritance and innovation of traditional Chinese medicine knowledge. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention and do not constitute a limitation to the present invention.

[0051] Figure 1 It is a schematic diagram of the steps of a traditional Chinese medicine assisted diagnosis and treatment method for infertility based on a knowledge graph of the present invention;

[0052] Figure 2 It is a schematic diagram of the structure of a traditional Chinese medicine assisted diagnosis and treatment system for infertility based on a knowledge graph of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0054] Please refer to Figure 1 , in the first embodiment: A traditional Chinese medicine assisted diagnosis and treatment method for infertility based on a knowledge graph is provided. The method includes the following steps:

[0055] Step S1: Construct a medical case database, extract acupuncture treatment cases for infertility, and construct a case set of acupuncture treatment for infertility; construct a medical term set for acupuncture treatment of infertility.

[0056] Construct a medical case database, which records multi-source acupuncture cases based on ancient and modern traditional Chinese medicine literature and modern clinical practice; use natural language processing technology to extract acupuncture cases with the keyword of infertility from the medical case database, and mark the acupuncture cases as acupuncture treatment cases for infertility to construct a case set of acupuncture treatment for infertility.

[0057] Based on professional medical term materials (the professional medical term materials include "Terms of Traditional Chinese Medicine Clinical Diagnosis and Treatment", "Terms of Traditional Chinese Medicine", "The Eleventh Revision of the International Classification of Diseases (ICD-11)", etc.), extract professional medical terms based on the acupuncture treatment cases for infertility to construct a medical term set for acupuncture treatment of infertility.

[0058] It should be noted that in actual clinical practice, a rich case database can provide more references and learnings for doctors. For example, when encountering an infertility patient with specific symptoms, doctors can query the case database to understand the treatment methods and effects of other similar patients, thereby broadening the treatment ideas and improving the accuracy and effectiveness of diagnosis and treatment; a standardized medical term set enables better communication and information sharing among different medical institutions and doctors. For example, in academic exchanges or multi-center clinical studies, unified terms can ensure that all parties have the same understanding of diseases, syndromes, and treatment methods, promoting cooperation and knowledge dissemination.

[0059] Step S2: Based on the case set of acupuncture treatment for infertility and the medical term set for acupuncture treatment of infertility, construct a symptom-syndrome-prescription knowledge graph.

[0060] Construct a symptom-syndrome-prescription knowledge graph as follows:

[0061] The top-level classification structure of the symptom-syndrome-prescription knowledge graph includes symptom, syndrome and prescription. The symptom represents symptoms (such as irregular menstruation, soreness of waist and knees, etc.), the syndrome represents the classification and pathogenesis description of syndrome (such as spleen and kidney yang deficiency syndrome, liver depression syndrome, etc.), and the prescription represents the acupuncture prescription used for different syndrome types (including acupoint selection, acupuncture techniques, etc.).

[0062] Fill the symptom-syndrome-prescription knowledge graph from the bottom up, as follows:

[0063] The cases of acupuncture treatment for infertility are analyzed, and the symptoms of the cases of acupuncture treatment for infertility are marked according to the symptoms (for example, the symptoms of lower abdominal cold pain, chills and cold limbs of the patients are marked as corresponding "symptoms" respectively); based on the medical terminology set of acupuncture treatment for infertility, the syndrome types and acupuncture prescriptions of acupuncture treatment for infertility are marked according to the symptoms and the prescriptions (for example, in a case, the diagnosis is spleen and kidney yang deficiency syndrome, and the acupuncture prescription used is Guanyuan, Qihai, Pishu, Shenshu and other acupoints, and warm needling is applied, and these information are marked as "syndrome" and "prescription" respectively); the marked content is filled into the syndrome-syndrome-prescription knowledge graph.

[0064] The acupuncture treatment of infertility cases are traversed until the annotated contents of all acupuncture treatment of infertility cases are filled into the symptom-syndrome-prescription knowledge graph, and then the traversal is stopped.

[0065] In the present invention, knowledge graph nodes represent symptoms, syndromes and prescriptions respectively; graph edges represent the treatment relationship between nodes, such as "kidney deficiency - treatment - Siwu decoction"; and the knowledge graph can be visualized using graph database tools (such as Neo4j or Gephi) to facilitate doctors' query and use;

[0066] It should be noted that the case of acupuncture treatment for infertility was analyzed in detail, and the symptoms, syndromes and acupuncture prescriptions in the case were annotated according to the classification of symptoms, syndromes and prescriptions, and the annotated content was filled into the knowledge graph. This process converts scattered case data into structured knowledge, forming a knowledge network about acupuncture treatment for infertility, which can intuitively show the correlation between symptoms, syndromes and treatment methods; in clinical practice, doctors can quickly query and analyze the relationship between patients' symptoms and possible syndromes and corresponding acupuncture prescriptions through knowledge graphs. For example, when patients have symptoms such as irregular menstruation and sore waist and knees, doctors can find the corresponding syndromes such as spleen and kidney yang deficiency in the knowledge graph, as well as acupoints such as Guanyuan, Qihai, Pishu, Shenshu and treatment methods such as warm needling, so as to formulate personalized diagnosis and treatment plans for patients and improve the efficiency and quality of diagnosis and treatment; for Chinese medicine teaching and training, knowledge graphs can be used as an intuitive and vivid teaching tool. Students can use knowledge maps to better understand the complex relationship between symptoms, syndromes and treatment methods in TCM theory, deepen their understanding of TCM's dialectical thinking and improve their learning outcomes.

[0067] Step S3: Obtain the patient's symptoms, and based on the symptom-syndrome-prescription knowledge graph, obtain the diagnosis and treatment plan corresponding to the symptoms; obtain the patient's feedback data and calculate the comprehensive score of the diagnosis and treatment plan.

[0068] The symptoms of the patient who needs to be diagnosed and treated are obtained, and based on the symptom-syndrome-prescription knowledge graph, the syndrome type and acupuncture prescription corresponding to the symptoms are obtained.

[0069] The syndrome type and acupuncture prescription are used as a diagnosis and treatment plan. Based on the diagnosis and treatment plan, the patient who needs diagnosis and treatment is diagnosed and treated. After the diagnosis and treatment, the patient's feedback data is obtained. The feedback data includes the patient's subjective score data, the patient's physiological index change data, and the TCM syndrome differentiation index change data. The patient's subjective score data, the patient's physiological index change data, and the TCM syndrome differentiation index change data of the i-th patient are respectively recorded as PSS i 、PPI i and TCM i .

[0070] PSS based on patient subjective rating data i , Patient physiological index change data PPI i TCM syndrome differentiation index change data i , calculate the comprehensive score of the diagnosis and treatment plan, the calculation formula is as follows:

[0071] DTS i =α×PSS i +β×PPI i +γ×TCM i ;

[0072] Among them, DTS i represents the comprehensive score of the diagnosis and treatment plan for the i-th patient, α represents the weight factor of the preset subjective score data of the patient, β represents the weight factor of the preset change data of the patient's physiological indicators, and γ represents the weight factor of the preset change data of the traditional Chinese medicine syndrome differentiation indicators.

[0073] It should be noted that according to the patient's symptoms, based on the constructed symptom-syndrome-prescription knowledge graph, the corresponding syndrome type and acupuncture prescription are obtained and used as the preliminary diagnosis and treatment plan. This makes the diagnosis and treatment process more intelligent and scientific, can quickly match the corresponding treatment method according to the patient's symptom information, and reduces the time and energy of doctors to search and judge in a large number of cases and knowledge; in actual clinical applications, quickly obtaining the diagnosis and treatment plan through the knowledge graph can improve the timeliness and accuracy of diagnosis and treatment. Especially for doctors with relatively less experience, they can use the reference plan provided by the knowledge graph for diagnosis and treatment to reduce the misdiagnosis rate. At the same time, the calculation of the comprehensive score can help doctors and patients intuitively understand the diagnosis and treatment effect and provide a basis for subsequent treatment adjustment. For example, if the comprehensive score is low, it means that the current diagnosis and treatment plan may need to be improved, and the doctor can further analyze the reasons and adjust the treatment method or parameters; for medical quality management and research, the comprehensive score can be used as an important indicator to evaluate the effects of different diagnosis and treatment plans. Through the analysis of a large amount of patient data and the statistics of the comprehensive score, more effective diagnosis and treatment plans and methods can be screened out, providing data support and theoretical basis for the optimization and development of traditional Chinese medicine clinical practice.

[0074] Step S4: Preset a comprehensive score threshold, and analyze and dynamically update the symptom-syndrome-prescription knowledge graph.

[0075] Preset a comprehensive score threshold. If the comprehensive score DTS of the diagnosis and treatment plan for the i-th patient i is greater than or equal to the comprehensive score threshold, then mark the diagnosis and treatment plan as an effective diagnosis and treatment plan.

[0076] If the comprehensive score DTS of the diagnosis and treatment plan for the i-th patient i is less than the comprehensive score threshold, then mark the diagnosis and treatment plan as an ineffective diagnosis and treatment plan, and update the symptom-syndrome-prescription knowledge graph as follows:

[0077] Using the cosine similarity technology, calculate the symptom similarity between the patient's symptoms and the remaining symptoms, preset a similarity threshold, and mark all the symptoms with symptom similarity greater than the similarity threshold as the associated symptoms of the patient's symptoms.

[0078] Obtain the syndrome types and acupuncture prescriptions corresponding to the associated symptoms, and use them as the associated diagnosis and treatment plans. Calculate the comprehensive scores of the associated diagnosis and treatment plans, sort the comprehensive scores of all associated symptoms from high to low, and use the associated diagnosis and treatment plan with the highest comprehensive score as the diagnosis and treatment plan for the i-th patient, and update it in the symptom-syndrome-prescription knowledge graph by adding nodes.

[0079] Input the updated symptom-syndrome-prescription knowledge graph into the next round of diagnosis and treatment decision-making process for dynamic update (forming a closed loop through the feedback mechanism to continuously optimize the diagnosis and treatment effect).

[0080] It should be noted that in clinical practice, the dynamic update of the knowledge graph can ensure that it always reflects the latest clinical practice and research results. For example, over time, it may be found that there are associations between certain new symptom combinations and specific syndrome types and treatment methods, or that the effects of certain traditional treatment methods have changed in the new clinical environment. Through the update of the knowledge graph, these new knowledge and experiences can be incorporated in a timely manner to provide more accurate references for subsequent diagnosis and treatment; for the inheritance and development of traditional Chinese medicine, this method of updating the knowledge graph based on the feedback mechanism can promote the continuous accumulation and innovation of traditional Chinese medicine knowledge. It can integrate the clinical experiences and research results of different doctors into a unified knowledge system, realize the sharing and inheritance of knowledge, and promote the continuous development and progress of traditional Chinese medicine in the modern medical environment.

[0081] Please refer to Figure 2 , in the second embodiment: Provide a traditional Chinese medicine assisted diagnosis and treatment system for infertility based on a knowledge graph. The system includes: a data set construction module, a knowledge graph construction module, a diagnosis and treatment plan acquisition and score calculation module, and a comprehensive analysis module.

[0082] The data set construction module: Construct a medical case database, extract acupuncture treatment infertility cases, and construct an acupuncture treatment infertility case set; construct an acupuncture treatment infertility medical term set.

[0083] The knowledge graph construction module: Based on the acupuncture treatment infertility case set and the acupuncture treatment infertility medical term set, construct a symptom-syndrome-prescription knowledge graph.

[0084] The diagnosis and treatment plan acquisition and score calculation module: Obtain the symptoms of the patient, and based on the symptom-syndrome-prescription knowledge graph, obtain the diagnosis and treatment plan corresponding to the symptoms; obtain the feedback data of the patient, and calculate the comprehensive score of the diagnosis and treatment plan.

[0085] The comprehensive analysis module: Preset a comprehensive score threshold, and analyze and dynamically update the symptom-syndrome-prescription knowledge graph.

[0086] Furthermore, the dataset construction module includes an acupuncture treatment for infertility case set construction unit and an acupuncture treatment for infertility medical terminology set construction unit.

[0087] The acupuncture treatment for infertility case set construction unit: constructs a medical case database, in which multi-source acupuncture cases based on ancient and modern Chinese medical literature and modern clinical practice are recorded; uses natural language processing technology to extract acupuncture cases with the keyword of infertility from the medical case database, and marks the acupuncture cases as acupuncture treatment for infertility cases to construct an acupuncture treatment for infertility case set.

[0088] The acupuncture treatment for infertility medical terminology set construction unit: extracts professional medical terms based on the acupuncture treatment for infertility cases from professional medical term materials to construct an acupuncture treatment for infertility medical terminology set.

[0089] Furthermore, the knowledge graph construction module includes a knowledge graph construction unit.

[0090] The knowledge graph construction unit: constructs a disease-syndrome-prescription knowledge graph, specifically as follows:

[0091] The top-level classification structure of the disease-syndrome-prescription knowledge graph includes disease, syndrome, and prescription. The disease represents symptoms, the syndrome represents the classification and pathogenesis description of syndromes, and the prescription represents the acupuncture prescriptions adopted for different syndrome types.

[0092] Fill the disease-syndrome-prescription knowledge graph from bottom to top, specifically as follows:

[0093] Analyze the acupuncture treatment for infertility cases, label the symptoms of the acupuncture treatment for infertility cases according to the disease; based on the acupuncture treatment for infertility medical terminology set, label the syndrome types and acupuncture prescriptions of the acupuncture treatment for infertility cases according to the disease and the prescription; fill the labeled content into the disease-syndrome-prescription knowledge graph;

[0094] Traverse the acupuncture treatment for infertility cases until the labeled content of all acupuncture treatment for infertility cases is filled into the disease-syndrome-prescription knowledge graph, then stop traversing.

[0095] Furthermore, the diagnosis and treatment plan acquisition and scoring calculation module includes a diagnosis and treatment plan acquisition unit and a scoring calculation unit.

[0096] The diagnosis and treatment plan acquisition unit: obtains the symptoms of the patient to be diagnosed and treated, and based on the disease-syndrome-prescription knowledge graph, obtains the corresponding syndrome types and acupuncture prescriptions of the symptoms.

[0097] Take the syndrome type and acupuncture prescription as the diagnosis and treatment plan. Based on the diagnosis and treatment plan, diagnose and treat the patients who need to be diagnosed and treated. After the diagnosis and treatment, obtain the feedback data of the patients, where the feedback data includes the subjective scoring data of the patients, the change data of the patients' physiological indicators, and the change data of the traditional Chinese medicine syndrome differentiation indicators.

[0098] The scoring calculation unit: Calculate the comprehensive score of the diagnosis and treatment plan based on the subjective scoring data of the patients, the change data of the patients' physiological indicators, and the change data of the traditional Chinese medicine syndrome differentiation indicators.

[0099] Furthermore, the comprehensive analysis module includes an analysis unit and a dynamic update unit.

[0100] The analysis unit: Preset a comprehensive score threshold. If the comprehensive score of the patient's diagnosis and treatment plan is greater than or equal to the comprehensive score threshold, mark the diagnosis and treatment plan as an effective diagnosis and treatment plan; if the comprehensive score of the patient's diagnosis and treatment plan is less than the comprehensive score threshold, mark the diagnosis and treatment plan as an ineffective diagnosis and treatment plan, and update the syndrome-syndrome-prescription knowledge graph.

[0101] The dynamic update unit: Use the cosine similarity technology to calculate the symptom similarity between the patient's symptoms and the rest of the symptoms. Preset a similarity threshold, and mark all the symptoms with symptom similarity greater than the similarity threshold as the associated symptoms of the patient's symptoms; Obtain the syndrome types and acupuncture prescriptions corresponding to the associated symptoms and use them as the associated diagnosis and treatment plans, and calculate the comprehensive scores of the associated diagnosis and treatment plans. Sort the comprehensive scores of all the associated symptoms from high to low, and take the associated diagnosis and treatment plan with the highest comprehensive score as the patient's diagnosis and treatment plan, and update it by adding nodes in the syndrome-syndrome-prescription knowledge graph; Input the updated syndrome-syndrome-prescription knowledge graph into the next round of diagnosis and treatment decision-making process for dynamic update.

[0102] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "including", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0103] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A TCM-assisted diagnosis and treatment method for infertility based on knowledge graph, characterized in that: The method comprises the following steps: Step S1: construct a medical case database, extract acupuncture treatment of infertility cases, construct a case set of acupuncture treatment of infertility; construct a medical term set of acupuncture treatment of infertility; Step S2: Based on the case collection of acupuncture treatment for infertility and the medical term collection of acupuncture treatment for infertility, construct a knowledge graph of symptoms, syndromes and prescriptions; Step S3: Obtain the patient's symptoms, and based on the symptom-syndrome-prescription knowledge graph, obtain the diagnosis and treatment plan corresponding to the symptoms; obtain the patient's feedback data, and calculate the comprehensive score of the diagnosis and treatment plan; Step S4: preset the comprehensive scoring threshold, analyze and dynamically update the symptom-syndrome-prescription knowledge graph.

2. According to claim 1, a TCM-assisted diagnosis and treatment method for infertility based on knowledge graph, characterized in that: The specific implementation process of step S1 includes: Constructing a medical case database, wherein the medical case database records multi-source acupuncture cases based on ancient and modern Chinese medicine literature and modern clinical practice; using natural language processing technology, extracting acupuncture cases with the keyword of infertility from the medical case database, and marking the acupuncture cases as acupuncture treatment of infertility cases, and constructing a collection of acupuncture treatment of infertility cases; Based on professional medical terminology data, professional medical terms based on the acupuncture treatment of infertility case are extracted to construct a medical term set for acupuncture treatment of infertility.

3. According to claim 2, a TCM-assisted diagnosis and treatment method for infertility based on knowledge graph, characterized in that: The specific implementation process of step S2 includes: Construct the knowledge graph of symptom-syndrome-prescription, as follows: The top-level classification structure of the symptom-syndrome-prescription knowledge graph includes symptom, syndrome and prescription, wherein the symptom represents the symptom, the syndrome represents the classification and pathogenesis description of the syndrome, and the prescription represents the acupuncture prescription used for different syndrome types; Fill the symptom-syndrome-prescription knowledge graph from the bottom up, as follows: Analyze the cases of acupuncture treatment for infertility, and annotate the symptoms of the cases of acupuncture treatment for infertility according to the symptoms; annotate the syndrome types and acupuncture prescriptions of the cases of acupuncture treatment for infertility according to the symptoms and the prescriptions based on the medical terminology set of acupuncture treatment for infertility; and fill the annotated content into the syndrome-syndrome-prescription knowledge graph; The acupuncture treatment of infertility cases are traversed until the annotated contents of all acupuncture treatment of infertility cases are filled into the symptom-syndrome-prescription knowledge graph, and then the traversal is stopped.

4. According to claim 3, a TCM-assisted diagnosis and treatment method for infertility based on knowledge graph, characterized in that: The specific implementation process of step S3 includes: Acquire the symptoms of the patient who needs to be diagnosed and treated, and based on the symptom-syndrome-prescription knowledge graph, acquire the syndrome type and acupuncture prescription corresponding to the symptoms; The syndrome type and acupuncture prescription are used as a diagnosis and treatment plan. Based on the diagnosis and treatment plan, the patient who needs diagnosis and treatment is diagnosed and treated. After the diagnosis and treatment, the patient's feedback data is obtained. The feedback data includes the patient's subjective score data, the patient's physiological index change data, and the TCM syndrome differentiation index change data. The patient's subjective score data, the patient's physiological index change data, and the TCM syndrome differentiation index change data of the i-th patient are respectively recorded as PSS i 、PPI i and TCM i ; PSS based on patient subjective rating data i , Patient physiological index change data PPI i TCM syndrome differentiation index change data i , calculate the comprehensive score of the diagnosis and treatment plan, the calculation formula is as follows: DTS i =α×PSS i +β×PPI i +γ×TCM i ; Among them, DTS i represents the comprehensive score of the diagnosis and treatment plan for the ith patient, α represents the preset weight factor of the patient's subjective score data, β represents the preset weight factor of the patient's physiological index change data, and γ represents the preset weight factor of the TCM syndrome differentiation index change data.

5. According to claim 4, a TCM-assisted diagnosis and treatment method for infertility based on knowledge graph, characterized in that: The specific implementation process of step S4 includes: Preset comprehensive score threshold, if the comprehensive score DTS of the diagnosis and treatment plan of the i-th patient i If the score is greater than or equal to the comprehensive score threshold, the diagnosis and treatment plan is marked as a valid diagnosis and treatment plan; If the comprehensive score DTS of the diagnosis and treatment plan for the i-th patient i If the score is less than the comprehensive score threshold, the diagnosis and treatment plan is marked as an invalid diagnosis and treatment plan, and the symptom-syndrome-prescription knowledge graph is updated, as follows: Using cosine similarity technology, the symptom similarity between the patient's symptoms and other symptoms is calculated, a similarity threshold is preset, and all symptoms whose symptom similarity is greater than the similarity threshold are marked as associated symptoms of the patient's symptoms; Obtain the syndrome type and acupuncture prescription corresponding to the associated symptoms as the associated diagnosis and treatment plan, calculate the comprehensive score of the associated diagnosis and treatment plan, sort the comprehensive scores of all associated symptoms from high to low, take the associated diagnosis and treatment plan with the highest comprehensive score as the diagnosis and treatment plan for the i-th patient, and update it in the symptom-syndrome-prescription knowledge graph by adding nodes; The updated symptom-syndrome-prescription knowledge graph is input into the next round of diagnosis and treatment decision-making process for dynamic update.

6. A knowledge graph-based TCM-assisted diagnosis and treatment system for infertility, which implements a knowledge graph-based TCM-assisted diagnosis and treatment method for infertility as described in any one of claims 1-5, characterized in that: The system includes: a data set construction module, a knowledge graph construction module, a diagnosis and treatment plan acquisition and scoring calculation module, and a comprehensive analysis module; The data set construction module: constructs a medical case database, extracts acupuncture treatment of infertility cases, constructs a case set of acupuncture treatment of infertility; constructs a medical term set of acupuncture treatment of infertility; The knowledge graph construction module: constructs a symptom-syndrome-prescription knowledge graph based on acupuncture treatment of infertility case collection and acupuncture treatment of infertility medical term collection; The diagnosis and treatment plan acquisition and score calculation module: obtains the patient's symptoms, and based on the symptom-syndrome-prescription knowledge graph, obtains the diagnosis and treatment plan corresponding to the symptoms; obtains the patient's feedback data and calculates the comprehensive score of the diagnosis and treatment plan; The comprehensive analysis module: presets a comprehensive scoring threshold, analyzes and dynamically updates the symptom-syndrome-prescription knowledge graph.

7. According to claim 6, a knowledge graph-based TCM-assisted infertility diagnosis and treatment system is characterized by: The data set construction module includes a construction unit for acupuncture treatment of infertility case set and a construction unit for acupuncture treatment of infertility medical term set; The acupuncture treatment for infertility case collection construction unit: constructs a medical case database, wherein the medical case database records multi-source acupuncture cases based on ancient and modern Chinese medicine literature and modern clinical practice; uses natural language processing technology to extract acupuncture cases with the keyword infertility from the medical case database, and marks the acupuncture cases as acupuncture treatment for infertility cases, thereby constructing an acupuncture treatment for infertility case collection; The acupuncture treatment of infertility medical terminology set construction unit is: based on professional medical terminology data, extracts professional medical terms based on the acupuncture treatment of infertility cases, and constructs the acupuncture treatment of infertility medical terminology set.

8. According to claim 7, a knowledge graph-based TCM-assisted infertility diagnosis and treatment system is characterized by: The knowledge graph construction module includes a knowledge graph construction unit; The knowledge graph construction unit: constructs a symptom-syndrome-prescription knowledge graph, specifically as follows: The top-level classification structure of the symptom-syndrome-prescription knowledge graph includes symptom, syndrome and prescription, wherein the symptom represents the symptom, the syndrome represents the classification and pathogenesis description of the syndrome, and the prescription represents the acupuncture prescription used for different syndrome types; Fill the symptom-syndrome-prescription knowledge graph from the bottom up, as follows: Analyze the cases of acupuncture treatment for infertility, and annotate the symptoms of the cases of acupuncture treatment for infertility according to the symptoms; annotate the syndrome types and acupuncture prescriptions of the cases of acupuncture treatment for infertility according to the symptoms and the prescriptions based on the medical terminology set of acupuncture treatment for infertility; and fill the annotated content into the syndrome-syndrome-prescription knowledge graph; The acupuncture treatment of infertility cases are traversed until the annotated contents of all acupuncture treatment of infertility cases are filled into the symptom-syndrome-prescription knowledge graph, and then the traversal is stopped.

9. According to claim 8, a knowledge graph-based TCM-assisted infertility diagnosis and treatment system is characterized by: The diagnosis and treatment plan acquisition and score calculation module includes a diagnosis and treatment plan acquisition unit and a score calculation unit; The diagnosis and treatment plan acquisition unit is used to acquire the symptoms of the patient who needs to be diagnosed and treated, and based on the symptom-syndrome-prescription knowledge graph, acquire the syndrome type and acupuncture prescription corresponding to the symptoms; The syndrome type and acupuncture prescription are used as a diagnosis and treatment plan, and based on the diagnosis and treatment plan, the patient who needs diagnosis and treatment is diagnosed and treated, and after the diagnosis and treatment, the patient's feedback data is obtained, and the feedback data includes the patient's subjective score data, the patient's physiological index change data, and the TCM syndrome differentiation index change data; The scoring calculation unit calculates the comprehensive score of the diagnosis and treatment plan based on the patient's subjective scoring data, the patient's physiological index change data and the TCM syndrome differentiation index change data.

10. According to claim 9, a knowledge graph-based TCM-assisted infertility diagnosis and treatment system is characterized by: The comprehensive analysis module includes an analysis unit and a dynamic update unit; The analysis unit: presets a comprehensive score threshold, and if the comprehensive score of the patient's diagnosis and treatment plan is greater than or equal to the comprehensive score threshold, marks the diagnosis and treatment plan as a valid diagnosis and treatment plan; if the comprehensive score of the patient's diagnosis and treatment plan is less than the comprehensive score threshold, marks the diagnosis and treatment plan as an invalid diagnosis and treatment plan, and updates the symptom-syndrome-prescription knowledge graph; The dynamic update unit: uses cosine similarity technology to calculate the symptom similarity between the patient's symptoms and other symptoms, presets a similarity threshold, and marks all symptoms whose symptom similarity is greater than the similarity threshold as associated symptoms of the patient's symptoms; obtains the syndrome type and acupuncture prescription corresponding to the associated symptoms, and uses them as associated diagnosis and treatment plans, and calculates the comprehensive score of the associated diagnosis and treatment plans, sorts the comprehensive scores of all associated symptoms from high to low, and uses the associated diagnosis and treatment plan with the highest comprehensive score as the patient's diagnosis and treatment plan, and updates it by adding nodes in the symptom-syndrome-prescription knowledge graph; inputs the updated symptom-syndrome-prescription knowledge graph into the next round of diagnosis and treatment decision-making process for dynamic updating.

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