Medication entity identification method and system based on traditional Chinese and western medicine diagnosis technology

Abstract

The invention relates to the technical field of intelligent medical treatment, in particular to a traditional Chinese and western medicine diagnosis technology-based medication entity identification method and system, which comprises preliminary information collection, traditional Chinese medicine diagnosis, western medicine diagnosis, comprehensive diagnosis and medication entity determination. Compared with the problems of incomplete information collection, low diagnosis efficiency, tedious medical treatment process of the patient and the like caused by dependence on manual inquiry and paper medical records in the prior art, the scheme introduces basic information of the patient through the electronic medical record system, and the intelligent inquiry system accurately records symptom information; deep analysis is carried out in combination with natural language processing, data matching and a machine learning algorithm, rapid and accurate disease type inference and department recommendation are realized, and meanwhile, a patient is clearly guided to a recommended department by means of an electronic display screen, short messages, voice prompts and the like; the trouble that a patient cannot find a correct department due to the fact that the patient does not know department functions and distribution is effectively avoided, and the efficiency and quality of medical services and the medical experience of the patient are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent medical technology, and in particular to a method and system for identifying medication entities based on traditional Chinese and western medicine diagnosis technologies. Background Art

[0002] In the existing technology, the collection of medical information mainly relies on manual inquiry and paper medical records. This method has many shortcomings, such as incomplete information collection, low diagnostic efficiency, and cumbersome medical procedures for patients. Specifically, manual inquiry may lead to inaccurate or missing information collection due to factors such as doctor experience and patient expression ability; paper medical records have problems such as easy loss and difficulty in query, and are not conducive to the long-term preservation and sharing of information.

[0003] In addition, there are certain problems with the diagnosis process in the existing medical system. Due to incomplete information collection and limited diagnostic methods, doctors often find it difficult to make an accurate diagnosis in a short period of time, resulting in low diagnostic efficiency. At the same time, the patient's medical treatment process is also cumbersome, especially in large hospitals, where patients often need to spend a lot of time and energy looking for departments, waiting in line, etc.

[0004] In order to solve the above problems, a drug entity recognition method and system based on Chinese and Western medicine diagnosis technology came into being. The system adopts an intelligent preliminary information collection and outpatient guidance system, imports basic patient information through the electronic medical record system, and uses an intelligent consultation system to accurately record symptom information. At the same time, it combines natural language processing, data matching and machine learning algorithms for in-depth analysis to achieve fast and accurate disease type inference and department recommendation. This innovation not only effectively avoids the trouble of patients not being able to find the correct department due to unclear department functions and distribution, but also significantly improves the efficiency and quality of medical services and improves patients' medical experience.

[0005] In summary, the invention patent of the medication entity recognition method and system based on traditional Chinese and Western medicine diagnostic technology is an innovative solution proposed on the basis of a deep understanding of the problems of the existing medical system. Summary of the invention

[0006] In order to overcome the problems raised in the above background technology, the present invention proposes a method and system for drug entity recognition based on traditional Chinese and Western medicine diagnosis technology.

[0007] The technical solution of the present invention is: a method for identifying medication entities based on traditional Chinese and western medicine diagnosis technology, comprising the following steps:

[0008] S11: Preliminary information collection: collect and record the patient's basic information, including the patient's age, gender, lifestyle and medical history, and record the patient's symptom information, and preliminarily classify and evaluate the symptoms to determine the severity of the symptoms and possible causes;

[0009] S12: TCM diagnosis firstly uses the four methods of observation, auscultation, olfaction, questioning and palpation to obtain the patient's specific physical condition, and then conducts syndrome differentiation and analysis to determine the patient's syndrome type;

[0010] S13: Western medicine diagnosis, based on the diagnosis of traditional Chinese medicine, the patient is given a comprehensive physical examination and auxiliary examinations. The physical examination includes measuring vital signs, observing the skin, lymph nodes, and auscultating the heart and lungs. The auxiliary examination methods used include blood routine, urine routine, biochemical examination, imaging examination, and electrocardiogram examination;

[0011] S14: Comprehensive diagnosis: Based on the results of TCM and Western medicine diagnosis, the patient's physical condition is comprehensively analyzed to obtain the patient's specific symptoms, causes of symptoms, and potential risks;

[0012] S15: Determine the medication entity, select Chinese medicine, Western medicine, and a combination of Chinese and Western medicine suitable for the patient's condition based on the comprehensive diagnosis results, and develop a detailed treatment plan.

[0013] Preferably, the following steps are included when collecting preliminary information:

[0014] S21: Information import, using the electronic medical record system to import the patient's basic information, including age, gender, occupation and medical history;

[0015] S22: Intelligent consultation, recording the patient's symptom information through the intelligent consultation system, wherein the patient's symptom information includes specific symptoms, duration, severity and influencing factors;

[0016] S23: Outpatient guidance: Based on the patient's symptom information entered into the intelligent consultation system, a comparative analysis is performed with historical data to obtain the outpatient department corresponding to the patient's symptoms, and the patient is guided to the corresponding outpatient department for outpatient diagnosis.

[0017] Preferably, when comparing and analyzing the symptom information of the patient entered into the intelligent medical consultation system with the historical data, obtaining the outpatient department corresponding to the patient's symptoms, and guiding the patient to the corresponding outpatient department for outpatient diagnosis, the principle steps are as follows:

[0018] S31: Extraction of symptom features: Analyze the symptom information data entered by the patient through natural language processing technology to extract the symptom features in the symptom information data;

[0019] S32: data matching, matching the extracted pathological characteristic information with the historical data stored in the database;

[0020] S33: Algorithmic analysis, using machine learning algorithms to comprehensively analyze the patient's disease characteristics, identify the correlation and potential patterns between symptoms, and infer the most likely disease type;

[0021] S34: Department recommendation: Based on the results of algorithm analysis, the most appropriate outpatient department is recommended according to the type and severity of the disease;

[0022] S35: guiding the patient to a recommended outpatient department for further outpatient diagnosis through one of an electronic display screen, text message, and voice prompt.

[0023] Preferably, when obtaining the patient's specific physical condition through the combined method of observation, auscultation, inquiry and palpation, and conducting syndrome differentiation analysis to determine the patient's syndrome type, the TCM diagnosis results are entered into the hospital's data entry system, and the entered diagnosis results are analyzed through natural language processing technology to obtain keywords of the patient's syndrome type, and the specific content of the Western medicine diagnosis is determined based on the preliminary outpatient results and the keywords of the syndrome type.

[0024] Preferably, when the diagnosis results of traditional Chinese medicine diagnosis are inputted into the data input system of the hospital, and the inputted diagnosis results are analyzed by natural language processing technology to obtain the keywords of the syndrome type of the patient, and the specific content of the western medicine diagnosis is determined according to the preliminary outpatient results and the keywords of the syndrome type, the following steps are included:

[0025] S41: Data entry, through the hospital's data entry system, the results of TCM diagnosis are entered into the system, and the data in image format and voice format are converted into text data;

[0026] S42: Data processing and analysis: First, the input TCM diagnosis results are preprocessed, including removing irrelevant characters, word segmentation and part-of-speech tagging, and then the keyword extraction algorithm is used to extract keywords related to the syndrome type, and then the semantic analysis technology is used to understand the relationship and context between the keywords to determine the patient's syndrome type;

[0027] S43: Western medicine diagnosis is determined by combining the patient's preliminary outpatient results with the keyword analysis results of the traditional Chinese medicine diagnosis. The required Western medicine diagnosis is determined based on the keywords of the traditional Chinese medicine syndrome type, combined with Western medicine knowledge and diagnostic standards.

[0028] Preferably, on the basis of TCM diagnosis, a comprehensive physical examination and auxiliary examination of the patient are performed, including the following steps:

[0029] S51: Based on the required western medicine diagnosis, guide the patient to undergo various types of examinations in sequence;

[0030] S52: Enter the patient's examination results into the system through the hospital's data entry system;

[0031] S53: Analyze the patient's examination results through the intelligent analysis model to obtain the patient's specific symptoms.

[0032] Preferably, when analyzing the patient's examination results through an intelligent analysis model to obtain the patient's specific symptoms, the adopted intelligent analysis model is a long short-term memory network model, wherein the specific structure of the long short-term memory network model is:

[0033] A11: Forget gate, used to control whether to forget the hidden cell state of the previous layer. The principle formula is:

[0034] f(t)=σ(Wf*h(t-1)+Uf*x(t)+bf);

[0035] Where σ is the sigmoid activation function, h(t-1) represents the hidden state of the previous time step, x(t) represents the input data of the current time step, f(t) is the output of the forget gate, Wf represents the weight matrix from the hidden state h(t-1) of the previous layer to the forget gate, Uf represents the weight matrix from the current input x(t) to the forget gate, and bf represents the bias vector of the forget gate;

[0036] A12: Input gate, used to process the input of the current sequence position and decide which information will be added to the cell state. Its principle formula is:

[0037] i(t)=σ(Wi*h(t-1)+Ui*x(t)+bi), a(t)=tanh(Wa*h(t-1)+Ua*x(t)+ba);

[0038] Among them, i(t) is the output of the input gate, Wi represents the weight matrix from the hidden state h(t-1) of the previous layer to the input gate, Ui represents the weight matrix from the current input x(t) to the input gate, bi represents the bias vector of the input gate, a(t) represents the candidate cell state calculated by the input gate, tanh represents the hyperbolic tangent activation function, Wa represents the weight matrix from the hidden state h(t-1) of the previous layer to the candidate cell state, Ua represents the weight matrix from the current input x(t) to the candidate cell state, and ba represents the bias vector of the candidate cell state;

[0039] A13: Cell state update module, used to update the cell state C(t) according to the output of the forget gate and the input gate. Its principle formula is:

[0040] C(t)=f(t)*C(t-1)+i(t)*a(t);

[0041] Among them, C(t) represents the cell state at time step t, f(t) represents the output of the forget gate, and C(t-1) represents the cell state at the previous time step;

[0042] A14: Output gate, used to control which information in the cell state will be output to the hidden state h(t). Its principle formula is:

[0043] o(t)=σ(Wo*h(t-1)+Uo*x(t)+bo), h(t)+o(t)*tanh(C(t));

[0044] Among them, o(t) represents the output of the output gate, Wo represents the weight matrix from the hidden state h(t-1) of the previous layer to the output gate, Uo represents the weight matrix from the current input x(t) to the output gate, bo represents the bias vector of the output gate, and h(t) represents the hidden state at time step t.

[0045] Preferably, when comprehensively analyzing the patient's physical condition based on the results of TCM diagnosis and Western medicine diagnosis to obtain the patient's specific symptoms, causes of symptoms, and potential risks of the patient, the following steps are included:

[0046] S61: Information integration, integrating the results of TCM diagnosis and Western medicine diagnosis to form a comprehensive report on the patient's physical condition;

[0047] S62: Symptom analysis: analyzing the patient’s specific symptoms based on the integrated information;

[0048] S63: Etiology exploration, in-depth exploration of the causes of the disease;

[0049] S64: Risk assessment, assessing the patient's potential risks, that is, assessing the patient's physical immune weaknesses.

[0050] Preferably, when selecting Chinese medicine, Western medicine or a combination of Chinese and Western medicine suitable for the patient's condition based on the comprehensive diagnosis results and formulating a detailed treatment plan, the following steps are included:

[0051] S71: Comprehensive diagnosis result analysis: after determining the patient's specific symptoms, analyze the cause of the symptoms and conduct a comprehensive assessment of the patient's condition;

[0052] S72: Drug selection: based on the data obtained from the comprehensive diagnostic results analysis, drugs with targeted therapeutic effects are screened in the database;

[0053] S73: Subsequent drug selection: Determine the subsequent conditioning drugs targeting potential risks based on the patient's potential risks;

[0054] S74: generating and screening schemes, generating multiple complete schemes with treatment and conditioning drug schemes according to the data results of step S72 and step S73, and screening the complete schemes according to the rules, and finally selecting the best scheme according to the set rules to obtain the final scheme, wherein the screening rules of the complete scheme include pharmacological conflicts, drug indications and drug adverse reactions, and the rules for selecting the best scheme include cost-effectiveness ranking, treatment effect ranking and comprehensive ranking;

[0055] S75: Determine the medication entity. Determine the dosage of the medication based on the patient's condition and individual differences, and then make a reasonable medication schedule based on the patient's daily routine.

[0056] The drug entity recognition system based on traditional Chinese and Western medicine diagnosis technology includes:

[0057] The information collection module is responsible for comprehensively collecting the patient's basic information and symptom information, and guiding the patient to the appropriate outpatient department based on historical data comparison and analysis;

[0058] The TCM diagnosis module is used to conduct syndrome differentiation analysis on patients and determine their syndrome types through traditional TCM methods of observation, auscultation, inquiry and palpation combined with modern data entry and natural language processing technology;

[0059] Western medicine diagnosis module, which is used to conduct comprehensive physical examinations and auxiliary examinations on patients based on TCM diagnosis using modern medical technology and equipment, and interpret the examination results through intelligent analysis models to reveal the patient's specific symptoms in a scientific and objective manner;

[0060] Comprehensive diagnosis module, which integrates the diagnosis results of traditional Chinese medicine and Western medicine, comprehensively analyzes the patient's specific symptoms, causes and potential risks, and forms a comprehensive report on the patient's physical condition;

[0061] The medication entity determination module is used to screen drugs with targeted therapeutic effects in the database based on the comprehensive diagnosis results, and formulate detailed treatment and conditioning plans taking into account the potential risks and individual differences of patients;

[0062] The main control module is used to connect with various intelligent systems in the hospital to control and assist the work of the information collection module, the traditional Chinese medicine diagnosis module, the western medicine diagnosis module, the comprehensive diagnosis module and the medication entity determination module;

[0063] It also includes a comprehensive guidance module, which is used to provide life guidance for the patient's rehabilitation according to the patient's physical condition report and treatment and conditioning plan, wherein the life guidance includes exercise guidance, diet guidance and work and rest guidance; wherein the comprehensive guidance module, when providing life guidance for the patient's rehabilitation according to the patient's physical condition report and treatment and conditioning plan, includes the following steps:

[0064] S81: Information acquisition, obtaining the patient's daily information and physical condition information through the patient's input work information, work and rest information and examination results;

[0065] S82: Information analysis: analyzing the patient's exercise needs, nutritional needs, and work and rest needs based on the information obtained;

[0066] S83: Guide the execution of the plan. According to the patient's exercise needs, nutritional needs and work and rest needs, formulate corresponding exercise guidance, diet guidance and work and rest guidance. Among them, the work and rest guidance is formulated according to the patient's daily work and rest time and working time;

[0067] S84: Guidance implementation and monitoring. Communicate the formulated life guidance plan to the patient and explain in detail the purpose and importance of each guidance. Regularly monitor the patient's rehabilitation progress and ensure the rehabilitation effect by collecting feedback and adjusting the guidance plan.

[0068] Beneficial effects of the present invention:

[0069] 1. Compared with the existing technology that relies on manual inquiries and paper medical records, which leads to incomplete information collection, low diagnostic efficiency and cumbersome patient medical procedures, this solution adopts an intelligent preliminary information collection and outpatient guidance system. The basic information of patients is imported through the electronic medical record system. The intelligent consultation system accurately records symptom information and combines natural language processing, data matching and machine learning algorithms for in-depth analysis to achieve fast and accurate disease type inference and department recommendation. At the same time, electronic display screens, text messages and voice prompts are used to clearly guide patients to the recommended department, effectively avoiding the trouble of patients not being able to find the correct department due to unclear department functions and distribution, and significantly improving the efficiency and quality of medical services and patients' medical experience;

[0070] 2. Compared with the shortcomings of traditional Chinese medicine diagnosis in existing technologies, such as reliance on subjective experience, insufficient information standardization caused by paper records, inconvenient sharing and low diagnostic efficiency, this solution innovatively combines the hospital data entry system with natural language processing technology to achieve accurate entry and intelligent analysis of the diagnosis results of the four diagnostic methods of Chinese medicine, namely, observation, auscultation, inquiry and palpation. It not only standardizes and digitizes Chinese medicine diagnostic information and improves information sharing efficiency, but also enhances the objectivity of diagnosis by deeply mining syndrome type keywords, and promotes the organic integration of Chinese and Western medicine diagnosis, providing patients with more comprehensive and accurate medical services, and significantly improving the overall efficiency and quality of medical diagnosis;

[0071] 3. Compared with the existing technology that relies on the personal experience of doctors to select drugs and formulate treatment plans, which may lead to shortcomings such as drug mismatch, poor treatment effect and significant side effects, this solution innovatively adopts intelligent technology driven by comprehensive diagnostic results. By accurately analyzing the patient's specific symptoms and potential risks, targeted drugs are screened in the database, and based on the rules of pharmacological conflicts, indications and adverse reactions, combined with cost-effectiveness, treatment effect and comprehensive considerations, the optimal treatment plan is generated and screened. At the same time, combined with the individual differences and daily routines of patients, the drug dosage and medication time are accurately set, realizing the systematization, precision and personalization of drug selection and treatment plan formulation, significantly improving the treatment effect and patient satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 What is shown is a flow chart of the drug entity recognition method based on traditional Chinese and western medicine diagnosis technology of the present invention;

[0073] Figure 2 What is shown is a schematic diagram of the structure of the drug entity recognition system based on traditional Chinese and Western medicine diagnosis technology of the present invention. DETAILED DESCRIPTION

[0074] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0075] Embodiment 1

[0076] See also Figure 1 The present invention provides an embodiment: a method for identifying medication entities based on traditional Chinese and western medicine diagnosis technology, comprising the following steps:

[0077] S11: Preliminary information collection: collect and record the patient's basic information, including the patient's age, gender, lifestyle and medical history, and record the patient's symptom information, and preliminarily classify and evaluate the symptoms to determine the severity of the symptoms and possible causes;

[0078] S12: TCM diagnosis firstly uses the four methods of observation, auscultation, olfaction, questioning and palpation to obtain the patient's specific physical condition, and then conducts syndrome differentiation and analysis to determine the patient's syndrome type;

[0079] S13: Western medicine diagnosis, based on the diagnosis of traditional Chinese medicine, the patient is given a comprehensive physical examination and auxiliary examinations. The physical examination includes measuring vital signs, observing the skin, lymph nodes, and auscultating the heart and lungs. The auxiliary examination methods used include blood routine, urine routine, biochemical examination, imaging examination, and electrocardiogram examination;

[0080] S14: Comprehensive diagnosis: Based on the results of TCM and Western medicine diagnosis, the patient's physical condition is comprehensively analyzed to obtain the patient's specific symptoms, causes of symptoms, and potential risks;

[0081] S15: Determine the medication entity, select Chinese medicine, Western medicine, and a combination of Chinese and Western medicine suitable for the patient's condition based on the comprehensive diagnosis results, and develop a detailed treatment plan.

[0082] As mentioned above, the patient's basic information and symptom information are first collected through the electronic medical record system and the intelligent consultation system, and preliminary classification and evaluation are carried out. Subsequently, the TCM physician obtains the patient's TCM physical condition through the four examinations of observation, auscultation, inquiry and palpation, and conducts dialectical analysis; the Western medicine physician conducts a comprehensive physical examination and auxiliary examination to obtain the patient's Western medicine physical condition. Then, the diagnosis results of TCM and Western medicine are comprehensively analyzed to determine the patient's specific symptoms, causes and potential risks. Finally, according to the comprehensive diagnosis results, the Chinese medicine, Western medicine and integrated Chinese and Western medicine drugs suitable for the patient's condition are selected, and a personalized treatment plan is formulated. This method combines the advantages of TCM and Western medicine, realizes the precise treatment of integrated Chinese and Western medicine, and provides strong support for the formulation of scientific and reasonable treatment plans.

[0083] By integrating Chinese and Western medical diagnostic techniques, the present invention achieves a comprehensive and accurate assessment of the patient's physical condition, which not only improves the accuracy of disease diagnosis and the depth of cause identification, but also tailors detailed treatment plans for patients including Chinese medicine, Western medicine and integrated Chinese and Western medicine based on the comprehensive diagnostic results, effectively reducing the misdiagnosis rate and treatment risks, promoting patient recovery, and demonstrating the significant advantages and benefits of integrated Chinese and Western medicine treatment.

[0084] Preferably, the following steps are included when collecting preliminary information:

[0085] S21: Information import, using the electronic medical record system to import the patient's basic information, including age, gender, occupation and medical history;

[0086] S22: Intelligent consultation, recording the patient's symptom information through the intelligent consultation system, wherein the patient's symptom information includes specific symptoms, duration, severity and influencing factors;

[0087] S23: Outpatient guidance: Based on the patient's symptom information entered into the intelligent consultation system, a comparative analysis is performed with historical data to obtain the outpatient department corresponding to the patient's symptoms, and the patient is guided to the corresponding outpatient department for outpatient diagnosis.

[0088] Preferably, when comparing and analyzing the symptom information of the patient entered into the intelligent medical consultation system with the historical data, obtaining the outpatient department corresponding to the patient's symptoms, and guiding the patient to the corresponding outpatient department for outpatient diagnosis, the principle steps are as follows:

[0089] S31: Extraction of symptom features: Analyze the symptom information data entered by the patient through natural language processing technology to extract the symptom features in the symptom information data;

[0090] S32: data matching, matching the extracted pathological characteristic information with the historical data stored in the database;

[0091] S33: Algorithmic analysis, using machine learning algorithms to comprehensively analyze the patient's disease characteristics, identify the correlation and potential patterns between symptoms, and infer the most likely disease type;

[0092] S34: Department recommendation: Based on the results of algorithm analysis, the most appropriate outpatient department is recommended according to the type and severity of the disease;

[0093] S35: guiding the patient to a recommended outpatient department for further outpatient diagnosis through one of an electronic display screen, text message, and voice prompt.

[0094] As described above, compared with the prior art that relies on manual inquiries and paper medical records, resulting in incomplete information collection, low diagnostic efficiency and cumbersome patient medical procedures, the present invention adopts an intelligent preliminary information collection and outpatient guidance system, imports patient basic information through the electronic medical record system, and the intelligent consultation system accurately records symptom information, and combines natural language processing, data matching and machine learning algorithms for in-depth analysis to achieve fast and accurate disease type inference and department recommendation. At the same time, electronic display screens, text messages and voice prompts are used to clearly guide patients to the recommended department, effectively avoiding the trouble of patients not being able to find the correct department due to unclear department functions and distribution, and significantly improving the efficiency and quality of medical services and patients' medical experience.

[0095] Preferably, when obtaining the patient's specific physical condition through the combined method of observation, auscultation, inquiry and palpation, and conducting syndrome differentiation analysis to determine the patient's syndrome type, the TCM diagnosis results are entered into the hospital's data entry system, and the entered diagnosis results are analyzed through natural language processing technology to obtain keywords of the patient's syndrome type, and the specific content of the Western medicine diagnosis is determined based on the preliminary outpatient results and the keywords of the syndrome type.

[0096] Preferably, when the diagnosis results of traditional Chinese medicine diagnosis are inputted into the data input system of the hospital, and the inputted diagnosis results are analyzed by natural language processing technology to obtain the keywords of the syndrome type of the patient, and the specific content of the western medicine diagnosis is determined according to the preliminary outpatient results and the keywords of the syndrome type, the following steps are included:

[0097] S41: Data entry, through the hospital's data entry system, the results of TCM diagnosis are entered into the system, and the data in image format and voice format are converted into text data;

[0098] S42: Data processing and analysis: First, the input TCM diagnosis results are preprocessed, including removing irrelevant characters, word segmentation and part-of-speech tagging, and then the keyword extraction algorithm is used to extract keywords related to the syndrome type, and then the semantic analysis technology is used to understand the relationship and context between the keywords to determine the patient's syndrome type;

[0099] S43: Western medicine diagnosis is determined by combining the patient's preliminary outpatient results with the keyword analysis results of the traditional Chinese medicine diagnosis. The required Western medicine diagnosis is determined based on the keywords of the traditional Chinese medicine syndrome type, combined with Western medicine knowledge and diagnostic standards.

[0100] As mentioned above, compared with the shortcomings of traditional Chinese medicine diagnosis in the existing technology, such as reliance on subjective experience, insufficient information standardization caused by paper records, inconvenient sharing and low diagnostic efficiency, this solution innovatively combines the hospital data entry system with natural language processing technology to achieve accurate entry and intelligent analysis of the diagnosis results of the four diagnostic methods of Chinese medicine, which not only standardizes and digitizes Chinese medicine diagnostic information and improves information sharing efficiency, but also enhances the objectivity of diagnosis by deeply mining syndrome type keywords, and promotes the organic integration of Chinese and Western medicine diagnosis, providing patients with more comprehensive and accurate medical services and significantly improving the overall efficiency and quality of medical diagnosis.

[0101] Preferably, on the basis of TCM diagnosis, a comprehensive physical examination and auxiliary examination of the patient are performed, including the following steps:

[0102] S51: Based on the required western medicine diagnosis, guide the patient to undergo various types of examinations in sequence;

[0103] S52: Enter the patient's examination results into the system through the hospital's data entry system;

[0104] S53: Analyze the patient's examination results through the intelligent analysis model to obtain the patient's specific symptoms.

[0105] Preferably, when analyzing the patient's examination results through an intelligent analysis model to obtain the patient's specific symptoms, the adopted intelligent analysis model is a long short-term memory network model, wherein the specific structure of the long short-term memory network model is:

[0106] A11: Forget gate, used to control whether to forget the hidden cell state of the previous layer. The principle formula is:

[0107] f(t)=σ(Wf*h(t-1)+Uf*x(t)+bf);

[0108] Where σ is the sigmoid activation function, h(t-1) represents the hidden state of the previous time step, x(t) represents the input data of the current time step, f(t) is the output of the forget gate, Wf represents the weight matrix from the hidden state h(t-1) of the previous layer to the forget gate, Uf represents the weight matrix from the current input x(t) to the forget gate, and bf represents the bias vector of the forget gate;

[0109] A12: Input gate, used to process the input of the current sequence position and decide which information will be added to the cell state. Its principle formula is:

[0110] i(t)=σ(Wi*h(t-1)+Ui*x(t)+bi), a(t)=tanh(Wa*h(t-1)+Ua*x(t)+ba);

[0111] Among them, i(t) is the output of the input gate, Wi represents the weight matrix from the hidden state h(t-1) of the previous layer to the input gate, Ui represents the weight matrix from the current input x(t) to the input gate, bi represents the bias vector of the input gate, a(t) represents the candidate cell state calculated by the input gate, tanh represents the hyperbolic tangent activation function, Wa represents the weight matrix from the hidden state h(t-1) of the previous layer to the candidate cell state, Ua represents the weight matrix from the current input x(t) to the candidate cell state, and ba represents the bias vector of the candidate cell state;

[0112] A13: Cell state update module, used to update the cell state C(t) according to the output of the forget gate and the input gate. Its principle formula is:

[0113] C(t)=f(t)*C(t-1)+i(t)*a(t);

[0114] Among them, C(t) represents the cell state at time step t, f(t) represents the output of the forget gate, and C(t-1) represents the cell state at the previous time step;

[0115] A14: Output gate, used to control which information in the cell state will be output to the hidden state h(t). Its principle formula is:

[0116] o(t)=σ(Wo*h(t-1)+Uo*x(t)+bo), h(t)+o(t)*tanh(C(t));

[0117] Among them, o(t) represents the output of the output gate, Wo represents the weight matrix from the hidden state h(t-1) of the previous layer to the output gate, Uo represents the weight matrix from the current input x(t) to the output gate, bo represents the bias vector of the output gate, and h(t) represents the hidden state at time step t.

[0118] As described above, the present invention adds physical examination and auxiliary examination links on the basis of TCM diagnosis in order to comprehensively evaluate the patient. The specific approach is to first guide the patient to complete various examinations in an orderly manner according to the determined Western medicine diagnosis needs; then use the hospital's data entry system to enter the patient's various examination results into the system; finally, through the intelligent analysis model of the long short-term memory network (LSTM) model, the patient's examination results are deeply analyzed to accurately diagnose the patient's specific symptoms. The LSTM model has a sophisticated architecture and includes a forget gate for filtering and retaining important historical information; an input gate, which is responsible for processing the current input and determining which new information should be added to the cell state; a cell state update module, which updates the cell state according to the output of the forget gate and the input gate; and an output gate, which controls which information should be output to the hidden state, thereby generating the final prediction result. The application of this intelligent analysis model significantly improves the accuracy and efficiency of diagnosis, and provides patients with more accurate and personalized medical services.

[0119] Preferably, when comprehensively analyzing the patient's physical condition based on the results of TCM diagnosis and Western medicine diagnosis to obtain the patient's specific symptoms, causes of symptoms, and potential risks of the patient, the following steps are included:

[0120] S61: Information integration, integrating the results of TCM diagnosis and Western medicine diagnosis to form a comprehensive report on the patient's physical condition;

[0121] S62: Symptom analysis: analyzing the patient’s specific symptoms based on the integrated information;

[0122] S63: Etiology exploration, in-depth exploration of the causes of the disease;

[0123] S64: Risk assessment, assessing the patient's potential risks, that is, assessing the patient's physical immune weaknesses.

[0124] As described above, the present invention integrates the results of traditional Chinese medicine diagnosis and Western medicine diagnosis to form a comprehensive report on the patient's physical condition, and based on this, deeply analyzes the patient's specific symptoms, explores the causes of the disease and assesses potential risks (including weak points of physical immunity). This technical solution can provide patients with a more comprehensive and accurate health assessment, help to formulate more personalized and effective treatment plans, thereby significantly improving the overall quality and effectiveness of medical services.

[0125] Preferably, when selecting Chinese medicine, Western medicine or a combination of Chinese and Western medicine suitable for the patient's condition based on the comprehensive diagnosis results and formulating a detailed treatment plan, the following steps are included:

[0126] S71: Comprehensive diagnosis result analysis: after determining the patient's specific symptoms, analyze the cause of the symptoms and conduct a comprehensive assessment of the patient's condition;

[0127] S72: Drug selection: based on the data obtained from the comprehensive diagnostic results analysis, drugs with targeted therapeutic effects are screened in the database;

[0128] S73: Subsequent drug selection: Determine the subsequent conditioning drugs targeting potential risks based on the patient's potential risks;

[0129] S74: generating and screening schemes, generating multiple complete schemes with treatment and conditioning drug schemes according to the data results of step S72 and step S73, and screening the complete schemes according to the rules, and finally selecting the best scheme according to the set rules to obtain the final scheme, wherein the screening rules of the complete scheme include pharmacological conflicts, drug indications and drug adverse reactions, and the rules for selecting the best scheme include cost-effectiveness ranking, treatment effect ranking and comprehensive ranking;

[0130] S75: Determine the medication entity. Determine the dosage of the medication based on the patient's condition and individual differences, and then make a reasonable medication schedule based on the patient's daily routine.

[0131] As described above, compared with the prior art that relies on the personal experience of doctors to select drugs and formulate treatment plans, which may lead to shortcomings such as drug mismatch, poor treatment effect and significant side effects, the present invention innovatively adopts intelligent technology driven by comprehensive diagnostic results. By accurately analyzing the patient's specific symptoms and potential risks, targeted drugs are screened in the database, and based on the rules of pharmacological conflicts, indications and adverse reactions, combined with cost-effectiveness, treatment effect and comprehensive considerations, the optimal treatment plan is generated and screened. At the same time, combined with the individual differences and daily routines of patients, the drug dosage and medication time are accurately set, which realizes the systematization, precision and personalization of drug selection and treatment plan formulation, and significantly improves the treatment effect and patient satisfaction.

[0132] Embodiment 2

[0133] See also Figure 2 The present invention provides an embodiment: a drug entity recognition system based on traditional Chinese and western medicine diagnosis technology, including:

[0134] The information collection module is responsible for comprehensively collecting the patient's basic information and symptom information, and guiding the patient to the appropriate outpatient department based on historical data comparison and analysis;

[0135] The TCM diagnosis module is used to conduct syndrome differentiation analysis on patients and determine their syndrome types through traditional TCM methods of observation, auscultation, inquiry and palpation combined with modern data entry and natural language processing technology;

[0136] Western medicine diagnosis module, which is used to conduct comprehensive physical examinations and auxiliary examinations on patients based on TCM diagnosis using modern medical technology and equipment, and interpret the examination results through intelligent analysis models to reveal the patient's specific symptoms in a scientific and objective manner;

[0137] Comprehensive diagnosis module, which integrates the diagnosis results of traditional Chinese medicine and Western medicine, comprehensively analyzes the patient's specific symptoms, causes and potential risks, and forms a comprehensive report on the patient's physical condition;

[0138] The medication entity determination module is used to screen drugs with targeted therapeutic effects in the database based on the comprehensive diagnosis results, and formulate detailed treatment and conditioning plans taking into account the potential risks and individual differences of patients;

[0139] The main control module is used to connect with various intelligent systems in the hospital to control and assist the work of the information collection module, traditional Chinese medicine diagnosis module, western medicine diagnosis module, comprehensive diagnosis module and medication entity determination module.

[0140] As described above, the present invention realizes the comprehensive collection and accurate analysis of patient information by integrating multiple modules such as information collection, TCM diagnosis, Western medicine diagnosis, comprehensive diagnosis and determination of medication entities. It not only guides patients to appropriate outpatient departments, but also combines traditional TCM methods of observation, auscultation, questioning and palpation with modern data technology, as well as comprehensive examination and intelligent analysis of Western medicine to form a comprehensive physical condition report, and screens targeted drugs based on this, formulates personalized treatment and conditioning plans, and at the same time, the main control module effectively coordinates the work of each module, improves the systematicity, accuracy and personalization of medical services, and significantly enhances the treatment effect and patient satisfaction.

[0141] Embodiment 3

[0142] The medication entity recognition system based on traditional Chinese and western medicine diagnosis technology described in the second embodiment also includes a comprehensive guidance module, which is used to provide life guidance for the patient's rehabilitation according to the patient's physical condition report and treatment regimen, wherein the life guidance includes exercise guidance, diet guidance and work and rest guidance; wherein the comprehensive guidance module, when providing life guidance for the patient's rehabilitation according to the patient's physical condition report and treatment regimen, includes the following steps:

[0143] S81: Information acquisition, obtaining the patient's daily information and physical condition information through the patient's input work information, work and rest information and examination results;

[0144] S82: Information analysis: analyzing the patient's exercise needs, nutritional needs, and work and rest needs based on the information obtained;

[0145] S83: Guide the execution of the plan. According to the patient's exercise needs, nutritional needs and work and rest needs, formulate corresponding exercise guidance, diet guidance and work and rest guidance. Among them, the work and rest guidance is formulated according to the patient's daily work and rest time and working time;

[0146] S84: Guidance implementation and monitoring. Communicate the formulated life guidance plan to the patient and explain in detail the purpose and importance of each guidance. Regularly monitor the patient's rehabilitation progress and ensure the rehabilitation effect by collecting feedback and adjusting the guidance plan.

[0147] As mentioned above, compared with the existing technology that only focuses on medication entity recognition and lacks comprehensive guidance on patients' rehabilitation life, this solution adopts the method of adding a comprehensive guidance module to the medication entity recognition system. This module obtains and analyzes the patient's daily information and physical condition information, accurately formulates personalized life guidance plans including exercise guidance, diet guidance and work and rest guidance, and implements monitoring and adjustment, thereby having the significant advantage of improving patients' rehabilitation effects and quality of life.

[0148] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of those skilled in the art without departing from the spirit of the present invention.

Claims

1. A drug entity recognition method based on traditional Chinese and Western medicine diagnosis technology; characterized by: The following steps are included: S11: Preliminary information collection: collect and record the patient's basic information, including the patient's age, gender, lifestyle and medical history, and record the patient's main symptoms. Preliminary classification and evaluation of symptoms should be carried out to determine the severity of symptoms and possible causes. S12: TCM diagnosis firstly uses the four methods of observation, auscultation, olfaction, questioning and palpation to obtain the patient's specific physical condition, and then conducts syndrome differentiation and analysis to determine the patient's syndrome type; S13: Western medicine diagnosis, based on the diagnosis of traditional Chinese medicine, a comprehensive physical examination and auxiliary examinations are performed on the patient, including vital signs, blood routine, urine routine, biochemical examination and imaging examination; S14: Comprehensive diagnosis: Based on the results of TCM and Western medicine diagnosis, the patient's physical condition is comprehensively analyzed to obtain the patient's specific disease, cause of the disease, TCM syndrome type, and potential risks of the patient; S15: Determine the medication entity, select Chinese medicine, Western medicine, or a combination of Chinese and Western medicine suitable for the patient's condition based on the comprehensive diagnosis results, and develop a detailed treatment plan.

2. The method for drug entity recognition based on traditional Chinese and western medicine diagnosis technology according to claim 1, characterized in that: The initial information collection process includes the following steps: S21: Information import, using the electronic medical record system to import the patient's basic information, including age, gender, occupation and medical history; S22: Intelligent consultation, recording the patient's symptom information through the intelligent consultation system, wherein the patient's symptom information includes specific symptoms, duration, severity and influencing factors; S23: Outpatient guidance: Based on the patient's symptom information entered into the intelligent consultation system, a comparative analysis is performed with historical data to obtain the outpatient department corresponding to the patient's symptoms, and the patient is guided to the corresponding outpatient department for outpatient diagnosis.

3. The method for drug entity recognition based on traditional Chinese and western medicine diagnosis technology according to claim 2 is characterized by: When comparing and analyzing the patient's symptom information entered into the intelligent consultation system with historical data, obtaining the outpatient department corresponding to the patient's symptoms, and guiding the patient to the corresponding outpatient department for outpatient diagnosis, the principle steps are as follows: S31: Extraction of symptom features: Analyze the symptom information data entered by the patient through natural language processing technology to extract the symptom features in the symptom information data; S32: data matching, matching the extracted disease characteristic information with the historical data stored in the database; S33: Algorithmic analysis, using machine learning algorithms to comprehensively analyze the patient's disease characteristics, identify the correlation and potential patterns between symptoms, and infer the most likely disease type; S34: Department recommendation: Based on the results of algorithm analysis, the most appropriate outpatient department is recommended according to the type and severity of the disease; S35: guiding the patient to a recommended outpatient department for further outpatient diagnosis through one of an electronic display screen, text message, and voice prompt.

4. The method for drug entity recognition based on traditional Chinese and western medicine diagnosis technology according to claim 3 is characterized by: When obtaining the patient's specific physical condition through the combined method of observation, auscultation, inquiry and palpation, and conducting syndrome differentiation analysis to determine the patient's syndrome type, the TCM diagnosis results are entered into the hospital's data entry system, and the entered diagnosis results are analyzed through natural language processing technology to obtain keywords of the patient's syndrome type, and the specific content of the Western medicine diagnosis is determined based on the preliminary outpatient results and the keywords of the syndrome type.

5. The method for drug entity recognition based on traditional Chinese and western medicine diagnosis technology according to claim 4 is characterized by: When the diagnosis results of traditional Chinese medicine are input into the hospital's data input system, and the input diagnosis results are analyzed by natural language processing technology to obtain the keywords of the patient's syndrome type, and the specific content of the Western medicine diagnosis is determined based on the preliminary outpatient results and the keywords of the syndrome type, the following steps are included: S41: Data entry, through the hospital's data entry system, the results of TCM diagnosis are entered into the system, and the data in image format and voice format are converted into text data; S42: Data processing and analysis: First, the input TCM diagnosis results are preprocessed, including removing irrelevant characters, word segmentation and part-of-speech tagging, and then the keyword extraction algorithm is used to extract keywords related to the syndrome type, and then the semantic analysis technology is used to understand the relationship and context between the keywords to determine the patient's syndrome type; S43: Western medicine diagnosis is determined by combining the patient's preliminary outpatient results with the keyword analysis results of the traditional Chinese medicine diagnosis. The required Western medicine diagnosis is determined based on the keywords of the traditional Chinese medicine syndrome type, combined with Western medicine knowledge and diagnostic standards.

6. The method for drug entity recognition based on traditional Chinese and western medicine diagnosis technology according to claim 5 is characterized by: On the basis of TCM diagnosis, a comprehensive physical examination and auxiliary examination of the patient include the following steps: S51: Based on the required western medicine diagnosis, guide the patient to undergo various types of examinations in sequence; S52: Enter the patient's examination results into the system through the hospital's data entry system; S53: Analyze the patient's examination results through the intelligent analysis model to obtain the patient's specific symptoms.

7. The method for drug entity recognition based on traditional Chinese and western medicine diagnosis technology according to claim 6 is characterized by: When analyzing the patient's examination results through the intelligent analysis model to obtain the patient's specific symptoms, the intelligent analysis model used is the long short-term memory network model, wherein the specific structure of the long short-term memory network model is: A11: Forget gate, used to control whether to forget the hidden cell state of the previous layer. The principle formula is: f(t)=σ(Wf*h(t-1)+Uf*x(t)+bf); Where σ is the sigmoid activation function, h(t-1) represents the hidden state of the previous time step, x(t) represents the input data of the current time step, f(t) is the output of the forget gate, Wf represents the weight matrix from the hidden state h(t-1) of the previous layer to the forget gate, Uf represents the weight matrix from the current input x(t) to the forget gate, and bf represents the bias vector of the forget gate; A12: Input gate, used to process the input of the current sequence position and decide which information will be added to the cell state. Its principle formula is: i(t)=σ(Wi*h(t-1)+Ui*x(t)+bi), a(t)=tanh(Wa*h(t-1)+Ua*x(t)+ba); Among them, i(t) is the output of the input gate, Wi represents the weight matrix from the hidden state h(t-1) of the previous layer to the input gate, Ui represents the weight matrix from the current input x(t) to the input gate, bi represents the bias vector of the input gate, a(t) represents the candidate cell state calculated by the input gate, tanh represents the hyperbolic tangent activation function, Wa represents the weight matrix from the hidden state h(t-1) of the previous layer to the candidate cell state, Ua represents the weight matrix from the current input x(t) to the candidate cell state, and ba represents the bias vector of the candidate cell state; A13: Cell state update module, used to update the cell state C(t) according to the output of the forget gate and the input gate. Its principle formula is: C(t)=f(t)*C(t-1)+i(t)*a(t); Among them, C(t) represents the cell state at time step t, f(t) represents the output of the forget gate, and C(t-1) represents the cell state at the previous time step; A14: Output gate, used to control which information in the cell state will be output to the hidden state h(t). Its principle formula is: o(t)=σ(Wo*h(t-1)+Uo*x(t)+bo), h(t)+o(t)*tanh(C(t)); Among them, o(t) represents the output of the output gate, Wo represents the weight matrix from the hidden state h(t-1) of the previous layer to the output gate, Uo represents the weight matrix from the current input x(t) to the output gate, bo represents the bias vector of the output gate, and h(t) represents the hidden state at time step t.

8. The method for drug entity recognition based on traditional Chinese and western medicine diagnosis technology according to claim 7 is characterized by: When comprehensively analyzing the patient's physical condition based on the results of TCM and Western medicine diagnosis to obtain the patient's specific symptoms, causes of symptoms, and potential risks, the following steps are included: S61: Information integration, integrating the results of TCM diagnosis and Western medicine diagnosis to form a comprehensive report on the patient's physical condition; S62: Symptom analysis: analyzing the patient’s specific symptoms based on the integrated information; S63: Etiology exploration, in-depth exploration of the causes of the disease; S64: Risk assessment, assessing the patient's potential risks, that is, assessing the patient's physical immune weaknesses.

9. The method for drug entity recognition based on traditional Chinese and western medicine diagnosis technology according to claim 8, characterized in that: When selecting Chinese medicine, Western medicine, or a combination of Chinese and Western medicine suitable for the patient's condition based on the comprehensive diagnosis results and formulating a detailed treatment plan, the following steps are included: S71: Comprehensive diagnosis result analysis: after determining the patient's specific symptoms, analyze the cause of the symptoms and conduct a comprehensive assessment of the patient's condition; S72: Drug selection: based on the data obtained from the comprehensive diagnostic results analysis, drugs with targeted therapeutic effects are screened in the database; S73: Subsequent drug selection: Determine the subsequent conditioning drugs targeting potential risks based on the patient's potential risks; S74: generating and screening schemes, generating multiple complete schemes with treatment and conditioning drug schemes according to the data results of step S72 and step S73, and screening the complete schemes according to the rules, and finally selecting the best scheme according to the set rules to obtain the final scheme, wherein the screening rules of the complete scheme include pharmacological conflicts, drug indications and drug adverse reactions, and the rules for selecting the best scheme include cost-effectiveness ranking, treatment effect ranking and comprehensive ranking; S75: Determine the medication entity, determine the dosage of the medication based on the patient's condition and individual differences, and then formulate a reasonable medication schedule based on the patient's daily routine.

10. A medication entity recognition system based on traditional Chinese and western medicine diagnosis technology, used in the medication entity recognition method based on traditional Chinese and western medicine diagnosis technology according to claims 1-9, characterized in that: The drug entity recognition system based on traditional Chinese and Western medicine diagnosis technology includes: The information collection module is responsible for comprehensively collecting the patient's basic information and symptom information, and guiding the patient to the appropriate outpatient department based on historical data comparison and analysis; The TCM diagnosis module is used to conduct syndrome differentiation analysis on patients and determine their syndrome types through the traditional TCM methods of observation, auscultation, inquiry and palpation combined with modern data entry and natural language processing technology; Western medicine diagnosis module, which is used to conduct comprehensive physical examinations and auxiliary examinations on patients based on TCM diagnosis using modern medical technology and equipment, and interpret the examination results through intelligent analysis models to reveal the patient's specific symptoms in a scientific and objective manner; Comprehensive diagnosis module, which integrates the diagnosis results of traditional Chinese medicine and Western medicine, comprehensively analyzes the patient's specific symptoms, causes and potential risks, and forms a comprehensive report on the patient's physical condition; The medication entity determination module is used to screen drugs with targeted therapeutic effects in the database based on the comprehensive diagnosis results, and formulate detailed treatment and conditioning plans taking into account the potential risks and individual differences of patients; The main control module is used to connect with various intelligent systems in the hospital to control and assist the work of the information collection module, the traditional Chinese medicine diagnosis module, the western medicine diagnosis module, the comprehensive diagnosis module and the medication entity determination module; The comprehensive guidance module is used to provide life guidance for the patient's rehabilitation according to the patient's physical condition report and treatment and conditioning plan, wherein the life guidance includes exercise guidance, diet guidance and work and rest guidance; wherein, the comprehensive guidance module provides life guidance for the patient's rehabilitation according to the patient's physical condition report and treatment and conditioning plan, including the following steps: S81: Information acquisition, obtaining the patient's daily information and physical condition information through the patient's input work information, work and rest information and examination results; S82: Information analysis: analyzing the patient's exercise needs, nutritional needs, and work and rest needs based on the information obtained; S83: Guide the execution of the plan. According to the patient's exercise needs, nutritional needs and work and rest needs, formulate corresponding exercise guidance, diet guidance and work and rest guidance. Among them, the work and rest guidance is formulated according to the patient's daily work and rest time and working time; S84: Guidance implementation and monitoring. Communicate the formulated life guidance plan to the patient and explain in detail the purpose and importance of each guidance. Regularly monitor the patient's rehabilitation progress and ensure the rehabilitation effect by collecting feedback and adjusting the guidance plan.

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