Application method and system of traditional Chinese medicine meridian prescription and ancient prescription database

Abstract

The invention discloses a traditional Chinese medicine meridian prescription ancient prescription database application method and system, and the method comprises the steps: obtaining prescription information in ancient traditional Chinese medicine classic, carrying out the all-around interpretation of the prescription information, and determining whether the prescription information meets the input requirements or not according to the interpretation result; if yes, inputting the prescription information into a database, performing cleaning and structured processing on the input data, and performing classified storage on the input data according to a processing result; setting a plurality of prescription retrieval modes of the database according to the storage categories, and performing contrastive analysis of different dimensions on the retrieved prescription of each prescription retrieval mode; and screening out recommended prescriptions according to an analysis result and user requirements, and generating a medication report and clinical suggestions for display. By means of the method, fine storage and rapid and stable reference work of ancient prescriptions can be achieved, practicability and data storage value are improved, reference difficulty is lowered, powerful support is provided for modern medical research, and inheritance, development and innovation of traditional Chinese medicine and pharmacy are promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of databases, and in particular to an application method and system for a database of classical and ancient Chinese medicine prescriptions. Background Art

[0002] Traditional Chinese medicine is an important part of ancient Chinese medicine and has a history of thousands of years. In the long course of history, traditional Chinese medicine has accumulated rich theoretical and practical experience. Among them, ancient prescriptions are an important means of treatment in traditional Chinese medicine. They contain effective prescriptions summarized by ancient doctors based on clinical practice. The efficacy of these ancient prescriptions is still confirmed by modern medicine in many cases. Therefore, the inheritance, research and application of ancient prescriptions are of great significance. Since the literature records of ancient prescriptions usually exist in the form of manuscripts and are old, they are easily damaged, lost and other factors. Some prescriptions recorded in them are prone to out-of-print. In order to solve these problems, we can solve them by building a database of ancient prescriptions of traditional Chinese medicine. This database can collect a large amount of ancient prescription information, including the name, composition, usage, efficacy, etc. of the ancient prescriptions, which is convenient for researchers to consult and learn. At the same time, the database can also provide relevant medical knowledge and clinical experience to help people better understand and use ancient prescriptions. In addition, the database can also mine new drug combinations by analyzing the compatibility of ancient prescriptions, providing ideas for the research and development of new Chinese medicines. Summary of the invention

[0003] In response to the above-mentioned problems, the present invention provides an application method and system for a database of ancient Chinese medicine prescriptions to solve the problem mentioned in the background technology that the literature records of ancient prescriptions usually exist in the form of handwritten copies, are very old, and are easily affected by factors such as damage and loss, resulting in data loss and difficulty in reference.

[0004] A method for applying a database of traditional Chinese medicine prescriptions and ancient prescriptions, comprising the following steps:

[0005] Obtain prescription information from ancient Chinese medicine classics, conduct a comprehensive interpretation of the prescription information, and confirm whether the prescription information meets the input requirements based on the interpretation results;

[0006] If yes, enter the prescription information into the database and clean and structure the entered data, and classify and store the entered data according to the processing results;

[0007] According to the storage category, multiple prescription search methods are set in the database and the searched prescriptions of each prescription search method are compared and analyzed in different dimensions;

[0008] Recommended prescriptions are screened out based on the analysis results and user needs, and medication reports and clinical recommendations are generated for display.

[0009] Preferably, the step of obtaining prescription information from ancient Chinese medicine classics, performing a comprehensive interpretation of the prescription information, and confirming whether the prescription information meets the input requirements based on the interpretation results includes:

[0010] Generate mining rules based on the experience of professional technicians in identifying prescriptions of classical and ancient prescriptions, and build a data mining model based on the mining rules;

[0011] Use data mining models to mine traditional Chinese medicine classics and ancient books to obtain prescription information, and obtain relevant descriptive information on prescription name, drug composition, medicinal properties, efficacy, indications, prescription principles and medication rules based on the prescription information;

[0012] Perform a comprehensive interpretation of the prescription information based on the relevant description information, obtain the interpretation results, and determine the content integrity of the prescription information based on the interpretation results;

[0013] Determine the missing items of the prescription information based on the content completeness, and determine whether the missing items are basic input information items. If so, confirm that the prescription information does not meet the input requirements. If not, confirm that the prescription information meets the input requirements.

[0014] Preferably, if so, the prescription information is entered into a database and the entered data is cleaned and structured, and the entered data is classified and stored according to the processing results, including:

[0015] Obtain memory parameters of prescription information, process the prescription information in blocks according to the memory parameters, and enter each data block into the database in sequence;

[0016] Clean the input data to remove invalid data, duplicate data and erroneous data, and obtain the cleaned input data;

[0017] Determine the data storage format according to the data readability of the prescription, and perform structured processing on the cleaned input data based on the data storage format;

[0018] Construct multiple folders according to classification standards with different functions, and store the input data into multiple folders according to the classification standards.

[0019] Preferably, before setting multiple prescription search methods of the database according to the storage category and performing comparative analysis of different dimensions on the searched prescriptions of each prescription search method, the method further includes:

[0020] Set the privacy scope according to the historical usage of each prescription, and determine the attributes of the searcher within each privacy scope;

[0021] Generate access control lists and access rules according to the attributes of the search personnel within each privacy scope, and generate identity authentication strategies and database access strategies based on the access control lists and access rules;

[0022] Authentication and access rights verification for database login users through authentication policies and database access policies;

[0023] Monitor the operation parameters of the logged-in user on the database and generate monitoring logs.

[0024] Preferably, the step of setting multiple prescription search methods of the database according to the storage category and performing comparative analysis of the searched prescriptions of each prescription search method in different dimensions includes:

[0025] Determine stored prescriptions of multiple efficacy categories according to the storage category, and obtain the prescription name, ingredients, and main symptom information of each stored prescription of each efficacy category;

[0026] According to the prescription name, ingredients and main symptom information of each stored prescription, multiple prescription search modes are set, and the prescription search modes include: prescription name search, symptom search, ingredient search and efficacy search;

[0027] Determine the parameters of the same nature and the parameters of different nature under the search prescription results under each search method, and define the comparison dimensions according to the parameters of the same nature and the parameters of different nature;

[0028] Obtain comparative indicators under the positioning dimension, and conduct comparative analysis of the retrieved prescriptions of each prescription search method in different dimensions based on the comparative indicators.

[0029] Preferably, the method of screening out recommended prescriptions based on the analysis results and user needs and generating medication reports and clinical recommendations for display includes:

[0030] Obtain the user's condition characteristics based on the user's medical record information, conduct indication evaluation based on the condition characteristics, and determine the user's condition needs based on the evaluation results;

[0031] Determine the best matching prescription as the recommended prescription based on the user's medical condition needs and analysis results, and obtain the dosage ratio, usage frequency and brewing time parameters of the best matching prescription;

[0032] Generate an intelligent medication report based on the dosage ratio, usage frequency and brewing time parameters of the best matching prescription, and determine the user's life adjustment parameters based on the side effect parameters of the best matching prescription;

[0033] Generate clinical recommendations based on life adjustment parameters, associate clinical recommendations with smart medication reports and display them on the user terminal.

[0034] Preferably, it also includes:

[0035] Collect clinical use records of each stored prescription, and screen out malignant prescriptions based on clinical use records and user responses;

[0036] Delete the malicious prescriptions and related contents in the database, and store the new prescriptions developed by modern medical research results and clinical practice experience in the database;

[0037] Obtain real-time updated information on the drug source, preparation process, usage and dosage, adverse reactions, and interactions of stored prescriptions and update the data;

[0038] Collect information from medical researchers on drug compatibility changes and dosage form improvements for stored prescriptions, and revise and improve the stored prescriptions based on the information.

[0039] An application system for a database of traditional Chinese medicine prescriptions and ancient prescriptions, the system comprising:

[0040] The confirmation module is used to obtain the prescription information in the ancient Chinese medicine classics, interpret the prescription information in an all-round way, and confirm whether the prescription information meets the input requirements based on the interpretation results;

[0041] A classification storage module is used to enter the prescription information into the database and clean and structure the entered data, and classify and store the entered data according to the processing results;

[0042] A comparative analysis module, used to set multiple prescription search methods of the database according to storage categories and perform comparative analysis of the searched prescriptions of each prescription search method in different dimensions;

[0043] The generation module is used to screen out recommended prescriptions based on analysis results and user needs and generate medication reports and clinical recommendations for display.

[0044] Preferably, the confirmation module includes:

[0045] Construct submodules to generate mining rules based on the experience of professional technicians in identifying prescriptions of classical and ancient prescriptions, and construct data mining models based on the mining rules;

[0046] The first acquisition submodule is used to use the data mining model to perform data mining on Chinese medicine classics and ancient books to obtain prescription information, and obtain relevant descriptive information on prescription name, drug composition, medicinal properties, efficacy, indications, prescription principle and medication rules based on the prescription information;

[0047] The first determination submodule is used to interpret the prescription information in an all-round manner according to the relevant description information, obtain the interpretation result, and determine the content integrity of the prescription information according to the interpretation result;

[0048] A confirmation submodule is used to determine the missing content items of the prescription information according to the content completeness, and determine whether the missing content items are basic input information items. If so, confirm that the prescription information does not meet the input requirements; if not, confirm that the prescription information meets the input requirements;

[0049] The classification storage module includes:

[0050] The input submodule is used to obtain the memory parameters of the prescription information, process the prescription information in blocks according to the memory parameters, and input each data block into the database in sequence;

[0051] The data cleaning submodule is used to clean the input data to remove invalid data, duplicate data and erroneous data, and obtain the cleaned input data;

[0052] A processing submodule, used to determine the data storage format according to the data readability of the prescription, and to perform structured processing on the cleaned input data based on the data storage format;

[0053] The classification storage submodule is used to construct multiple folders according to classification standards with different functions, and store the input data into multiple folders according to the classification standards.

[0054] Preferably, the comparative analysis module includes:

[0055] The second acquisition submodule is used to determine the stored prescriptions of multiple efficacy categories according to the storage categories, and obtain the prescription name, ingredients and main symptom information of each stored prescription of each efficacy category;

[0056] A setting submodule is used to set multiple prescription search methods according to the prescription name, ingredients and main symptom information of each stored prescription, and the prescription search methods include: prescription name search, symptom search, ingredient search and efficacy search;

[0057] A definition submodule is used to determine the same-nature parameters and different-nature parameters under the search prescription results under each search mode, and define comparison dimensions according to the same-nature parameters and different-nature parameters;

[0058] The comparative analysis submodule is used to obtain comparative indicators under the positioning dimension, and to perform comparative analysis of the retrieved prescriptions of each prescription search method in different dimensions according to the comparative indicators;

[0059] The generating module comprises:

[0060] The second determination submodule is used to obtain the user's condition characteristics based on the user's medical record information, perform indication evaluation based on the condition characteristics, and determine the user's condition needs based on the evaluation results;

[0061] The third determination submodule is used to determine the best matching prescription as the recommended prescription based on the user's condition needs and analysis results, and obtain the dosage ratio, usage frequency and brewing time parameters of the best matching prescription;

[0062] The first generation submodule is used to generate an intelligent medication report according to the dosage ratio, usage frequency and brewing time parameters of the best matching prescription, and determine the user's life adjustment parameters based on the side effect parameters of the best matching prescription;

[0063] The second generation submodule is used to generate clinical suggestions based on life adjustment parameters, and associate the clinical suggestions with the intelligent medication report and display them on the user terminal.

[0064] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0065] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0067] Figure 1 A workflow diagram of an application method of a database of traditional Chinese medicine prescriptions and ancient prescriptions provided by the present invention;

[0068] Figure 2 Another work flow chart of the application method of the database of Chinese medicine classical prescriptions and ancient prescriptions provided by the present invention;

[0069] Figure 3 Another workflow diagram of the application method of the database of Chinese medicine classical prescriptions and ancient prescriptions provided by the present invention;

[0070] Figure 4 The present invention provides a schematic diagram of the structure of an application system for a database of classical and ancient Chinese medicine prescriptions. DETAILED DESCRIPTION

[0071] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0072] Traditional Chinese medicine is an important part of ancient Chinese medicine and has a history of thousands of years. In the long course of history, traditional Chinese medicine has accumulated rich theoretical and practical experience. Among them, ancient prescriptions are an important means of treatment in traditional Chinese medicine. They contain effective prescriptions summarized by ancient doctors based on clinical practice. The efficacy of these ancient prescriptions is still confirmed by modern medicine in many cases. Therefore, the inheritance, research and application of ancient prescriptions are of great significance. Since the literature records of ancient prescriptions usually exist in the form of manuscripts and are old, they are easily damaged, lost and other factors. Some prescriptions recorded in them are prone to out-of-print. In order to solve these problems, we can solve them by building a database of ancient prescriptions of traditional Chinese medicine. This database can collect a large amount of ancient prescription information, including the name, composition, usage, efficacy, etc. of the ancient prescriptions, which is convenient for researchers to consult and learn. At the same time, the database can also provide relevant medical knowledge and clinical experience to help people better understand and use ancient prescriptions. In addition, the database can also mine new drug combinations by analyzing the compatibility of ancient prescriptions, providing ideas for the research and development of new Chinese medicines.

[0073] An application method of a database of traditional Chinese medicine classic prescriptions, such as Figure 1 As shown, the following steps are included:

[0074] Step S101, obtaining prescription information from ancient Chinese medicine classics, interpreting the prescription information in all aspects, and confirming whether the prescription information meets the input requirements based on the interpretation results;

[0075] Step S102: If yes, enter the prescription information into the database and clean and structure the entered data, and classify and store the entered data according to the processing results;

[0076] Step S103, setting multiple prescription search methods of the database according to the storage category and performing comparative analysis of different dimensions on the searched prescriptions of each prescription search method;

[0077] Step S104: Filter out recommended prescriptions based on the analysis results and user needs and generate medication reports and clinical recommendations for display.

[0078] The working principle of the above technical solution is as follows: the prescription information in the ancient Chinese medicine classics is analyzed by natural language processing technology (such as rule matching, word vector model, etc.) to obtain the basic composition, efficacy, usage and dosage of the prescription. At the same time, combined with various means such as literature research and expert interviews, the prescription information is comprehensively interpreted to dig out the deep information such as medical principles and drug efficacy mechanisms contained therein. Then, according to the interpretation results of the prescription information, the present invention will make a conformity judgment on the prescription information to determine whether it meets the entry requirements. For the prescription information that meets the requirements, the present invention imports it into the database, and performs cleaning and structured processing to ensure the accuracy and integrity of the data. Next, according to the storage category, multiple prescription retrieval methods of the database are set. These retrieval methods can include multiple dimensions such as prescription name, composition, efficacy, etc., so that users can search from different angles and levels. At the same time, the present invention will also conduct in-depth comparative analysis of the corresponding retrieval prescription for each prescription retrieval method to help users understand the characteristics and applicability of various prescriptions more comprehensively. Finally, based on the analysis results and user needs, the most appropriate recommended prescriptions are screened out, and medication reports and clinical recommendations are generated for user reference and use. These reports and recommendations will elaborate on the prescription usage, precautions, possible risks and complications, etc., to provide users with comprehensive and systematic guidance on TCM treatment.

[0079] The beneficial effects of the above technical solution are: by setting the prescription entry conditions and then entering the prescription information on the classical Chinese medicine prescriptions and ancient prescriptions into the database and setting the search method and intelligent comparison function, the fine preservation and fast and stable reference work of the ancient prescriptions can be realized, which improves the practicality and data preservation value and reduces the reference difficulty. At the same time, it can also quickly retrieve the appropriate prescriptions according to the needs of users and then compare and screen out the final recommended prescriptions for users to use and clinical use, providing strong support for modern medical research and promoting the inheritance, development and innovation of Chinese medicine. It solves the problem mentioned in the prior art that the literature records of ancient prescriptions usually exist in the form of handwritten copies, and are very old and easily affected by factors such as damage and loss, resulting in data loss and reference difficulties.

[0080] In this embodiment, before obtaining the prescription information in the ancient Chinese medicine classics, comprehensively interpreting the prescription information, and confirming whether the prescription information meets the input requirements according to the interpretation results, it also includes:

[0081] Obtain the clinical manifestation set of each recorded prescription in ancient Chinese medicine classics, and determine the clinical weight of each recorded prescription based on the clinical manifestation set;

[0082] Obtain the core clinical manifestations of each recorded prescription, and determine the clinical weight vector of each recorded prescription according to the core clinical manifestations;

[0083] Determine the clinical syndrome weight of each recorded prescription based on the clinical weight vector;

[0084] Obtain data features of a modern Chinese medicine prescription database, determine data integrity discrimination features based on the data features, perform quantitative conversion on the data integrity discrimination features, and obtain data integrity discrimination indicators;

[0085] Collect the relevant recorded content of each recorded prescription, use the data integrity judgment index to judge the integrity of the relevant recorded content, and determine the content certificate weight of each recorded prescription based on the judgment result;

[0086] Obtain the medicinal material components of each recorded prescription, obtain the side effect parameters and efficacy parameters of the medicinal material components, and evaluate the component contribution and efficacy contribution according to the side effect parameters and efficacy parameters;

[0087] The value syndrome weight of each recorded prescription is determined based on the component contribution and the efficacy contribution, and a qualified target recorded prescription is selected as the prescription to be entered according to the value syndrome weight, content syndrome weight and clinical syndrome weight of each recorded prescription.

[0088] The beneficial effects of the above technical solution are: by conducting a multi-dimensional evaluation of the clinical, content and value aspects of the prescriptions recorded in the ancient Chinese medicine classics to determine the screening eligibility of the prescriptions and then screening out the prescriptions to be entered, it is possible to accurately control the quality of the entered prescriptions, improve the screening efficiency and data quality, lay the foundation for subsequent data entry, and further improve practicality.

[0089] In one embodiment, the obtaining of prescription information in ancient Chinese medicine classics, performing a comprehensive interpretation of the prescription information, and confirming whether the prescription information meets the input requirements according to the interpretation result include:

[0090] Generate mining rules based on the experience of professional technicians in identifying prescriptions of classical and ancient prescriptions, and build a data mining model based on the mining rules;

[0091] Use data mining models to mine traditional Chinese medicine classics and ancient books to obtain prescription information, and obtain relevant descriptive information on prescription name, drug composition, medicinal properties, efficacy, indications, prescription principles and medication rules based on the prescription information;

[0092] Perform a comprehensive interpretation of the prescription information based on the relevant description information, obtain the interpretation results, and determine the content integrity of the prescription information based on the interpretation results;

[0093] Determine the missing items of the prescription information based on the content completeness, and determine whether the missing items are basic input information items. If so, confirm that the prescription information does not meet the input requirements. If not, confirm that the prescription information meets the input requirements.

[0094] The beneficial effects of the above technical solution are: data mining is performed on traditional Chinese medicine classics and ancient books according to the data mining model to obtain prescription information, and the content integrity of the prescription information is determined, so as to determine whether the prescription information meets the input requirements, ensure the integrity of the information, and provide accurate reference information for doctors. Furthermore, by determining whether the missing content item is a basic input information item, the prescription information can be basically entered according to the data integrity requirements to ensure the integrity of the basic content, and the subsequent extended content can be adaptively supplemented to ensure the standardization of prescription entry.

[0095] In one embodiment, Figure 2 As shown, if so, the prescription information is entered into the database and the entered data is cleaned and structured, and the entered data is classified and stored according to the processing results, including:

[0096] Step S201, obtaining memory parameters of prescription information, dividing the prescription information into blocks according to the memory parameters, and entering each data block into a database in sequence;

[0097] Step S202: clean the input data to remove invalid data, duplicate data and erroneous data, and obtain cleaned input data;

[0098] Step S203, determining a data storage format according to the data readability of the prescription, and performing structured processing on the cleaned input data based on the data storage format;

[0099] Step S204: construct multiple folders according to classification standards with different functions, and store the input data in the multiple folders according to the classification standards.

[0100] The beneficial effects of the above technical solution are: the prescription information is divided into blocks according to the memory parameters of the prescription information and entered into the database, and the data is pre-processed to ensure the quality and consistency of the data. Furthermore, the storage format of the prescription data is determined, and multiple folders are constructed according to different classification standards for efficacy, which can improve the efficiency and reliability of storing prescription data and ensure the speed and accuracy of the storage results.

[0101] In one embodiment, before setting multiple prescription search methods of the database according to the storage category and performing comparative analysis of the searched prescriptions of each prescription search method in different dimensions, the method further includes:

[0102] Set the privacy scope according to the historical usage of each prescription, and determine the attributes of the searcher within each privacy scope;

[0103] Generate access control lists and access rules according to the attributes of the search personnel within each privacy scope, and generate identity authentication strategies and database access strategies based on the access control lists and access rules;

[0104] Authentication and access rights verification for database login users through authentication policies and database access policies;

[0105] Monitor the operation parameters of the logged-in user on the database and generate monitoring logs.

[0106] The beneficial effects of the above technical solution are: setting a privacy range for each prescription, determining the attributes of the search personnel within each privacy range, generating access control lists and access rules, and performing identity authentication and access rights verification on database login users, which can ensure the security and privacy of prescription information and avoid problems caused by information leakage.

[0107] In one embodiment, the step of setting multiple prescription search methods of the database according to the storage category and performing comparative analysis of the searched prescriptions of each prescription search method in different dimensions includes:

[0108] Determine stored prescriptions of multiple efficacy categories according to the storage category, and obtain the prescription name, ingredients, and main symptom information of each stored prescription of each efficacy category;

[0109] According to the prescription name, ingredients and main symptom information of each stored prescription, multiple prescription search modes are set, and the prescription search modes include: prescription name search, symptom search, ingredient search and efficacy search;

[0110] Determine the parameters of the same nature and the parameters of different nature under the search prescription results under each search method, and define the comparison dimensions according to the parameters of the same nature and the parameters of different nature;

[0111] Obtain comparative indicators under the positioning dimension, and conduct comparative analysis of the retrieved prescriptions of each prescription search method in different dimensions based on the comparative indicators.

[0112] The beneficial effects of the above technical solution are: by determining the stored prescriptions of multiple efficacy categories according to the storage category, and setting multiple prescription retrieval methods, the required prescriptions can be obtained quickly and accurately. Furthermore, by defining the comparison dimensions according to the same-nature parameters and different-nature parameters under the retrieval prescription results under each retrieval method, the differences between the prescriptions can be seen more clearly, avoiding the deviation of the comparison results caused by subjective judgment.

[0113] In one embodiment, the method of screening out recommended prescriptions based on analysis results and user needs and generating medication reports and clinical recommendations for display includes:

[0114] Obtain the user's condition characteristics based on the user's medical record information, conduct indication evaluation based on the condition characteristics, and determine the user's condition needs based on the evaluation results;

[0115] Determine the best matching prescription as the recommended prescription based on the user's medical condition needs and analysis results, and obtain the dosage ratio, usage frequency and brewing time parameters of the best matching prescription;

[0116] Generate an intelligent medication report based on the dosage ratio, usage frequency and brewing time parameters of the best matching prescription, and determine the user's life adjustment parameters based on the side effect parameters of the best matching prescription;

[0117] Generate clinical recommendations based on life adjustment parameters, associate clinical recommendations with smart medication reports and display them on the user terminal.

[0118] The beneficial effects of the above technical solution are: determining the user's medical needs based on the user's medical characteristics, thereby determining the recommended medicines, and generating intelligent medication reports based on the recommended medicines, which can provide medical staff with accurate and timely medication recommendations, avoid adverse reactions caused by improper medication, and improve the safety and effectiveness of medication. Furthermore, based on the side effect parameters of the best matching prescription, the user's life adjustment parameters are determined and clinical recommendations are generated, so that a treatment plan suitable for the user can be formulated to obtain the best treatment effect.

[0119] In one embodiment, Figure 3 As shown, it also includes:

[0120] Step S301, collecting clinical use records of each stored prescription, and screening out malignant prescriptions according to the clinical use records and user responses;

[0121] Step S302, delete the malicious prescriptions and related contents in the database, and store the new prescriptions developed by modern medical research results and clinical practice experience in the database;

[0122] Step S303, obtaining real-time updated information on the drug source, preparation process, usage and dosage, adverse reactions, and interactions of the stored prescriptions and performing data update;

[0123] Step S304: Collect information on drug compatibility changes and dosage form improvements of stored prescriptions from medical researchers, and revise and improve the stored prescriptions based on the drug compatibility changes and dosage form improvements.

[0124] The beneficial effects of the above technical solution are: deleting the relevant content of the malicious prescription base according to clinical use records and user feedback can ensure the accuracy and completeness of the data and avoid the adverse effects of malicious prescriptions on patients. Furthermore, the stored prescriptions are revised and improved according to the drug compatibility changes and dosage form improvement information of the stored prescriptions, thereby improving the safety and effectiveness of drug treatment and preventing adverse reactions or drug interactions caused by improper use of drugs.

[0125] In one embodiment, this embodiment also discloses an application system for a database of traditional Chinese medicine prescriptions and ancient prescriptions, such as Figure 4 As shown, the system includes:

[0126] Confirmation module 401 is used to obtain prescription information from ancient Chinese medicine classics, interpret the prescription information in an all-round way, and confirm whether the prescription information meets the input requirements based on the interpretation results;

[0127] The classification storage module 402 is used to enter the prescription information into the database and clean and structure the entered data, and classify and store the entered data according to the processing results;

[0128] A comparison and analysis module 403 is used to set multiple prescription search methods of the database according to the storage category and perform comparison and analysis of different dimensions on the searched prescriptions of each prescription search method;

[0129] The generation module 404 is used to screen out recommended prescriptions according to the analysis results and user needs and generate medication reports and clinical recommendations for display.

[0130] The working principle and beneficial effects of the above technical solution have been explained in the method embodiment and will not be repeated here.

[0131] In one embodiment, the confirmation module includes:

[0132] Construct submodules to generate mining rules based on the experience of professional technicians in identifying prescriptions of classical and ancient prescriptions, and construct data mining models based on the mining rules;

[0133] The first acquisition submodule is used to use the data mining model to perform data mining on Chinese medicine classics and ancient books to obtain prescription information, and obtain relevant descriptive information on prescription name, drug composition, medicinal properties, efficacy, indications, prescription principle and medication rules based on the prescription information;

[0134] The first determination submodule is used to interpret the prescription information in an all-round manner according to the relevant description information, obtain the interpretation result, and determine the content integrity of the prescription information according to the interpretation result;

[0135] A confirmation submodule is used to determine the missing content items of the prescription information according to the content completeness, and determine whether the missing content items are basic input information items. If so, confirm that the prescription information does not meet the input requirements; if not, confirm that the prescription information meets the input requirements;

[0136] The classification storage module includes:

[0137] The input submodule is used to obtain the memory parameters of the prescription information, process the prescription information in blocks according to the memory parameters, and input each data block into the database in sequence;

[0138] The data cleaning submodule is used to clean the input data to remove invalid data, duplicate data and erroneous data, and obtain the cleaned input data;

[0139] A processing submodule, used to determine the data storage format according to the data readability of the prescription, and to perform structured processing on the cleaned input data based on the data storage format;

[0140] The classification storage submodule is used to construct multiple folders according to classification standards with different functions, and store the input data into multiple folders according to the classification standards.

[0141] In one embodiment, the comparison and analysis module includes:

[0142] The second acquisition submodule is used to determine the stored prescriptions of multiple efficacy categories according to the storage categories, and obtain the prescription name, ingredients and main symptom information of each stored prescription of each efficacy category;

[0143] A setting submodule is used to set multiple prescription search methods according to the prescription name, ingredients and main symptom information of each stored prescription, and the prescription search methods include: prescription name search, symptom search, ingredient search and efficacy search;

[0144] A definition submodule is used to determine the same-nature parameters and different-nature parameters under the search prescription results under each search mode, and define comparison dimensions according to the same-nature parameters and different-nature parameters;

[0145] The comparative analysis submodule is used to obtain comparative indicators under the positioning dimension, and to perform comparative analysis of the retrieved prescriptions of each prescription search method in different dimensions according to the comparative indicators;

[0146] The generating module comprises:

[0147] The second determination submodule is used to obtain the user's condition characteristics based on the user's medical record information, perform indication evaluation based on the condition characteristics, and determine the user's condition needs based on the evaluation results;

[0148] The third determination submodule is used to determine the best matching prescription as the recommended prescription based on the user's condition needs and analysis results, and obtain the dosage ratio, usage frequency and brewing time parameters of the best matching prescription;

[0149] The first generation submodule is used to generate an intelligent medication report according to the dosage ratio, usage frequency and brewing time parameters of the best matching prescription, and determine the user's life adjustment parameters based on the side effect parameters of the best matching prescription;

[0150] The second generation submodule is used to generate clinical suggestions based on life adjustment parameters, and associate the clinical suggestions with the intelligent medication report and display them on the user terminal.

[0151] Those skilled in the art should understand that the first and second in the present invention merely refer to different application stages.

[0152] Other embodiments of the present disclosure will be readily apparent to those skilled in the art after considering the specification and practicing the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0153] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. An application method of a database of traditional Chinese medicine classic prescriptions, characterized in that: The following steps are involved: Obtain prescription information from ancient Chinese medicine classics, conduct a comprehensive interpretation of the prescription information, and confirm whether the prescription information meets the input requirements based on the interpretation results; If yes, enter the prescription information into the database and clean and structure the entered data, and classify and store the entered data according to the processing results; According to the storage category, multiple prescription search methods are set in the database and the searched prescriptions of each prescription search method are compared and analyzed in different dimensions; Recommended prescriptions are screened out based on the analysis results and user needs, and medication reports and clinical recommendations are generated for display.

2. The application method of the database of traditional Chinese medicine prescriptions and ancient prescriptions according to claim 1, characterized in that: The obtaining of prescription information from ancient Chinese medicine classics, a comprehensive interpretation of the prescription information, and confirmation of whether the prescription information meets the input requirements based on the interpretation results include: Generate mining rules based on the experience of professional technicians in identifying prescriptions of classical and ancient prescriptions, and build a data mining model based on the mining rules; Use data mining models to mine traditional Chinese medicine classics and ancient books to obtain prescription information, and obtain relevant descriptive information on prescription name, drug composition, medicinal properties, efficacy, indications, prescription principles and medication rules based on the prescription information; Perform a comprehensive interpretation of the prescription information based on the relevant description information, obtain the interpretation results, and determine the content integrity of the prescription information based on the interpretation results; Determine the missing items of the prescription information based on the content completeness, and determine whether the missing items are basic input information items. If so, confirm that the prescription information does not meet the input requirements. If not, confirm that the prescription information meets the input requirements.

3. The application method of the database of traditional Chinese medicine prescriptions and ancient prescriptions according to claim 1, characterized in that: If so, the prescription information is entered into the database and the entered data is cleaned and structured, and the entered data is classified and stored according to the processing results, including: Obtain memory parameters of prescription information, process the prescription information in blocks according to the memory parameters, and enter each data block into the database in sequence; Clean the input data to remove invalid data, duplicate data and erroneous data, and obtain the cleaned input data; Determine the data storage format according to the data readability of the prescription, and perform structured processing on the cleaned input data based on the data storage format; Construct multiple folders according to classification standards with different functions, and store the input data into multiple folders according to the classification standards.

4. The application method of the database of traditional Chinese medicine prescriptions according to claim 1, characterized in that: Before setting multiple prescription search methods of the database according to the storage category and performing comparative analysis of the searched prescriptions of each prescription search method in different dimensions, it also includes: Set the privacy scope according to the historical usage of each prescription, and determine the attributes of the searcher within each privacy scope; Generate access control lists and access rules according to the attributes of the search personnel within each privacy scope, and generate identity authentication strategies and database access strategies based on the access control lists and access rules; Authentication and access rights verification for database login users through authentication policies and database access policies; Monitor the operation parameters of the logged-in user on the database and generate monitoring logs.

5. The application method of the database of traditional Chinese medicine prescriptions according to claim 1, characterized in that: The method of setting multiple prescription search methods of the database according to the storage category and performing comparative analysis of the searched prescriptions of each prescription search method in different dimensions includes: Determine stored prescriptions of multiple efficacy categories according to the storage category, and obtain the prescription name, ingredients, and main symptom information of each stored prescription of each efficacy category; According to the prescription name, ingredients and main symptom information of each stored prescription, multiple prescription search modes are set, and the prescription search modes include: prescription name search, symptom search, ingredient search and efficacy search; Determine the parameters of the same nature and the parameters of different nature under the search prescription results under each search method, and define the comparison dimensions according to the parameters of the same nature and the parameters of different nature; Obtain comparative indicators under the positioning dimension, and conduct comparative analysis of the retrieved prescriptions of each prescription search method in different dimensions based on the comparative indicators.

6. The application method of the database of traditional Chinese medicine prescriptions according to claim 1, characterized in that: The method of screening out recommended prescriptions based on the analysis results and user needs and generating medication reports and clinical recommendations for display includes: Obtain the user's condition characteristics based on the user's medical record information, conduct indication evaluation based on the condition characteristics, and determine the user's condition needs based on the evaluation results; Determine the best matching prescription as the recommended prescription based on the user's medical condition needs and analysis results, and obtain the dosage ratio, usage frequency and brewing time parameters of the best matching prescription; Generate an intelligent medication report based on the dosage ratio, usage frequency and brewing time parameters of the best matching prescription, and determine the user's life adjustment parameters based on the side effect parameters of the best matching prescription; Generate clinical recommendations based on life adjustment parameters, associate clinical recommendations with smart medication reports and display them on the user terminal.

7. The application method of the database of traditional Chinese medicine prescriptions and ancient prescriptions according to claim 1, characterized in that: Also includes: Collect clinical use records of each stored prescription, and screen out malignant prescriptions based on clinical use records and user responses; Delete the malicious prescriptions and related contents in the database, and store the new prescriptions developed by modern medical research results and clinical practice experience in the database; Obtain real-time updated information on the drug source, preparation process, usage and dosage, adverse reactions, and interactions of stored prescriptions and update the data; Collect information from medical researchers on drug compatibility changes and dosage form improvements for stored prescriptions, and revise and improve the stored prescriptions based on the information.

8. An application system for a database of traditional Chinese medicine prescriptions and ancient prescriptions, characterized in that: The system includes: The confirmation module is used to obtain the prescription information in the ancient Chinese medicine classics, interpret the prescription information in an all-round way, and confirm whether the prescription information meets the input requirements based on the interpretation results; A classification storage module is used to enter the prescription information into the database and clean and structure the entered data, and classify and store the entered data according to the processing results; A comparative analysis module, used to set multiple prescription search methods of the database according to storage categories and perform comparative analysis of the searched prescriptions of each prescription search method in different dimensions; The generation module is used to screen out recommended prescriptions based on analysis results and user needs and generate medication reports and clinical recommendations for display.

9. The application system of the database of traditional Chinese medicine prescriptions and ancient prescriptions according to claim 8, characterized in that: The confirmation module comprises: Construct submodules to generate mining rules based on the experience of professional technicians in identifying prescriptions of classical and ancient prescriptions, and construct data mining models based on the mining rules; The first acquisition submodule is used to use the data mining model to perform data mining on Chinese medicine classics and ancient books to obtain prescription information, and obtain relevant descriptive information on prescription name, drug composition, medicinal properties, efficacy, indications, prescription principle and medication rules based on the prescription information; The first determination submodule is used to interpret the prescription information in an all-round manner according to the relevant description information, obtain the interpretation result, and determine the content integrity of the prescription information according to the interpretation result; A confirmation submodule is used to determine the missing content items of the prescription information according to the content completeness, and determine whether the missing content items are basic input information items. If so, confirm that the prescription information does not meet the input requirements; if not, confirm that the prescription information meets the input requirements; The classification storage module includes: The input submodule is used to obtain the memory parameters of the prescription information, process the prescription information in blocks according to the memory parameters, and input each data block into the database in sequence; The data cleaning submodule is used to clean the input data to remove invalid data, duplicate data and erroneous data, and obtain the cleaned input data; A processing submodule, used to determine the data storage format according to the data readability of the prescription, and to perform structured processing on the cleaned input data based on the data storage format; The classification storage submodule is used to construct multiple folders according to classification standards with different functions, and store the input data into multiple folders according to the classification standards.

10. The application system of the database of traditional Chinese medicine prescriptions and ancient prescriptions according to claim 8, characterized in that: The comparative analysis module comprises: The second acquisition submodule is used to determine the stored prescriptions of multiple efficacy categories according to the storage categories, and obtain the prescription name, ingredients and main symptom information of each stored prescription of each efficacy category; A setting submodule is used to set multiple prescription search methods according to the prescription name, ingredients and main symptom information of each stored prescription, and the prescription search methods include: prescription name search, symptom search, ingredient search and efficacy search; A definition submodule is used to determine the same-nature parameters and different-nature parameters under the search prescription results under each search mode, and define comparison dimensions according to the same-nature parameters and different-nature parameters; The comparative analysis submodule is used to obtain comparative indicators under the positioning dimension, and to perform comparative analysis of the retrieved prescriptions of each prescription search method in different dimensions according to the comparative indicators; The generating module comprises: The second determination submodule is used to obtain the user's condition characteristics based on the user's medical record information, perform indication evaluation based on the condition characteristics, and determine the user's condition needs based on the evaluation results; The third determination submodule is used to determine the best matching prescription as the recommended prescription based on the user's condition needs and analysis results, and obtain the dosage ratio, usage frequency and brewing time parameters of the best matching prescription; The first generation submodule is used to generate an intelligent medication report according to the dosage ratio, usage frequency and brewing time parameters of the best matching prescription, and determine the user's life adjustment parameters based on the side effect parameters of the best matching prescription; The second generation submodule is used to generate clinical suggestions based on life adjustment parameters, and associate the clinical suggestions with the intelligent medication report and display them on the user terminal.

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