CN116955497A - Classification method for Chinese patent medicine data - Google Patents

Classification method for Chinese patent medicine data Download PDF

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Publication number
CN116955497A
CN116955497A CN202310367188.2A CN202310367188A CN116955497A CN 116955497 A CN116955497 A CN 116955497A CN 202310367188 A CN202310367188 A CN 202310367188A CN 116955497 A CN116955497 A CN 116955497A
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chinese patent
data
patent medicine
medicine
classification
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张步泳
周春宣
黄少英
李剑亚
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Guangzhou Punctual Medicine Information Co ltd
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Guangzhou Punctual Medicine Information Co ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • G06F16/285Clustering or classification
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00ICT specially adapted for the handling or processing of medical references
    • G16H70/40ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage

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Abstract

The application provides a classification method of Chinese patent medicine data, and belongs to the field of medical data management. The method comprises the following steps: setting classification standards and types of Chinese patent medicines; according to metadata of a Chinese patent medicine database, a data table for data analysis and field types in the data table are obtained; extracting sampling data in the data table; and analyzing the sampled data and matching product classification codes. Wherein, the Chinese patent medicine classification standard and the Chinese patent medicine type are set specifically comprising: formulating the classification standard of the Chinese patent medicine; dividing the Chinese patent medicines into a plurality of major classes and a plurality of subclasses according to the Chinese patent medicine classification standard; setting codes corresponding to the major classes and the sub-classes, and generating product classification codes. The application establishes the classification standard of the Chinese patent medicine by analyzing the indications, main functions, ingredients and clinical application conditions of the Chinese patent medicine, and guides the management and the use of the Chinese patent medicine by combining the classification codes of the products.

Description

Classification method for Chinese patent medicine data
Technical Field
The application relates to the field of medical data management, in particular to a classification method of Chinese patent medicine data.
Background
In the prior art, medicines are often classified according to different standards such as components, purposes, dosage forms or pharmacological actions, different classification standards can be selected according to different requirements, but the management of Chinese patent medicines is disordered due to the different classification standards, and medicine information except the classification standards cannot be completely reflected.
The international ATC classification standard is a standard classified according to the structure and function of a drug, and is formulated by the world health organization. ATC classifies medications into 5 classes, separated by letters and numbers. ATC is a hierarchical classification of drug systems. The medicine ATC code is divided into 5 layers, which are respectively called a major class code, a sub class code, a primary sub class code, a secondary sub class code and a name code. Wherein the major class codes are classified according to an anatomical classification method, the sub-class codes and the primary sub-class codes are classified according to a therapeutic classification method, and the secondary sub-class codes are classified according to a chemical and therapeutic mixed classification method. However, due to the variety of Chinese patent medicines, the problem of inconvenient classification of medicines exists in a plurality of Chinese patent medicines due to the variety of the Chinese patent medicines, and the ATC classification method cannot accurately classify the Chinese patent medicines.
Disclosure of Invention
The application aims to solve the problem of inconvenient classification of the Chinese patent medicines by combining the characteristics of the Chinese patent medicines and the clinical application conditions. The aim of the application is achieved by the following technical scheme:
a classification method of Chinese patent medicine data comprises the following steps:
setting classification standards and types of Chinese patent medicines;
acquiring a data table in a database of the Chinese patent medicine;
extracting part of field data in the data table as sampling data;
analyzing the sampling data and matching product classification codes;
wherein, the set Chinese patent medicine classification standard and Chinese patent medicine type specifically comprise: formulating the classification standard of the Chinese patent medicine; dividing the Chinese patent medicines into a plurality of major classes and a plurality of subclasses according to the Chinese patent medicine classification standard; setting codes corresponding to the major classes and the sub-classes, and generating the product classification codes;
wherein, the classification standard of the Chinese patent medicine is as follows: drugs of a single indication are categorized according to the indication; the Chinese patent medicines with single function indications of multiple indications are classified according to the function indications; the Chinese patent medicines with multiple indications and multiple functions are classified according to the medicines of other dosage forms with the same Chinese patent medicine variety; the multi-indication multifunctional main-treatment Chinese patent medicines which cannot be classified by referring to medicines of other dosage forms with the same Chinese patent medicine variety are classified according to the clinical application of manufacturing enterprises.
Further, the number of the major classes is 13, and the number of the sub-classes is 80.
Further, the product classification code is divided into five layers; the first layer code is a product property classification code, and the value of the first layer code is fixed as Z to represent the Chinese patent medicine; the second layer code represents a first class code of the product, and the value range of the first class code is A-V; the third layer code represents a product secondary classification code, and the value range is 0-99; the third class code of the representative product of the fourth layer code has a value range of A-Z or 0 and is 0 when empty; the representative product four-level classification code of the fifth layer code has a value range of 0-9 and is 0 when empty.
Further, the extracting the sampling data in the data table includes:
setting a definition range of the Chinese patent medicine;
acquiring all data of the data table;
and extracting data in the data table according to the definition range of the Chinese patent medicine to serve as the sampling data.
Further, the definition range of the Chinese patent medicine comprises:
all medicines of national approved 'national medicine standard Z';
chinese medicine in imported medicines and medicines similar to Chinese patent medicine in other countries or regions of Asia;
belongs to the Chinese medicine standard character H and other dosage forms with the same components belong to Chinese patent medicines;
belongs to the Chinese medicine standard H, and the main component and a plurality of Chinese patent medicines in China are medicines for treating the same disease clinically;
a medicine containing various uncertain effective components is extracted from natural plants.
Further, the analyzing the sampled data and matching product classification codes specifically includes:
performing data processing on the sampling data;
analyzing the sampling data by referring to the Chinese patent medicine classification standard to obtain an analysis result;
and matching product classification codes according to the analysis result.
Further, the data processing includes data specification processing, experience value processing, data amplification processing, and data integrity check.
Further, before the step of setting the classification standard and the type of the Chinese patent medicine, the method further comprises the steps of: the Chinese patent medicine data are arranged into a data table and stored into a Chinese patent medicine database, and metadata of the Chinese patent medicine database are generated at the same time.
Further, the metadata includes a table name of each data table and description information of data, and a field name, a field type, and data length accuracy limit information of each field in each data table.
Further, the data table in the Chinese patent medicine database is obtained, specifically, the data table in the Chinese patent medicine database is obtained according to the metadata.
Compared with the prior art, the application has the following beneficial effects:
according to the application, the Chinese patent medicine classification standard is formulated by analyzing the indications and main functions of the Chinese patent medicine and combining the component characteristics and clinical application conditions of the Chinese patent medicine, and the main treatment diseases and other information of the Chinese patent medicine are intuitively reflected through the product classification codes, so that the management and the use of the Chinese patent medicine are better guided;
the application is convenient for the management staff to classify and manage the Chinese patent medicine data by establishing the Chinese patent medicine database of the Chinese patent medicine, and carries out data processing on the sampling data in the classifying process, thereby improving the quality and the reliability of the data;
the application solves the problem of data omission caused by fuzzy definition of part of Chinese patent medicines in the classification process by accurately dividing the definition range of the Chinese patent medicines by combining approval paper numbers, clinical application and medicine components and extracting sampling data according to the definition range.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a classification method of Chinese patent medicine data according to an embodiment of the application;
FIG. 2 is a flow chart of the method for setting classification criteria and types of Chinese patent medicines according to the embodiment of the application;
fig. 3 is a schematic structural diagram of a product code according to an embodiment of the present application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the method for classifying data of Chinese patent medicine provided by the embodiment of the application includes the following steps:
s1, setting classification standards and types of Chinese patent medicines;
s2, acquiring a data table in a database of the Chinese patent medicine;
s3, extracting part of field data in the data table as sampling data;
and S4, analyzing the sampling data and matching product classification codes.
In the application, the management and the use of the Chinese patent medicine are guided by the Chinese patent medicine classification standard and the product classification code, and the information of the main cure diseases and the like of the Chinese patent medicine can be intuitively reflected by the product classification code.
Specifically, referring to fig. 2, step S1 includes:
and S11, setting the classification standard of the Chinese patent medicine.
In the process of formulating the classification standard of the Chinese patent medicine, the application classifies the Chinese patent medicine preferentially through the indication of the medicine; secondly, classifying by the function and the main indications of the medicines when the medicines are medicines with different single indications; when the medicine has multiple indications and multiple functions, the medicine with other dosage forms is referred to for classification or classification according to clinical application of a manufacturing enterprise; and classifying the medicines according to clinical application of the production enterprises when the classification standards are not satisfied.
Accordingly, the classification standard of the Chinese patent medicine formulated in the embodiment specifically comprises: drugs of a single indication are categorized according to the indication; the Chinese patent medicines with single function indications of multiple indications are classified according to the function indications; the Chinese patent medicines with multiple indications and multiple functions are classified according to the medicines of other dosage forms with the same Chinese patent medicine variety; the multi-indication multifunctional main-treatment Chinese patent medicines which cannot be classified by referring to medicines of other dosage forms with the same Chinese patent medicine variety are classified according to the clinical application of manufacturing enterprises.
S12, dividing the Chinese patent medicines into 13 major classes and 80 subclasses according to the Chinese patent medicine classification standard; among them, 13 major classes include: digestive system diseases, qi and blood tonifying, cardiovascular and cerebrovascular diseases, dermatology, pediatrics, gynecology, urinary system diseases, five sense organs, tumor diseases, skeletal muscle system diseases, nervous system diseases, respiratory diseases and others.
The 80 subclasses include: hemorrhoid medication, gastric medication (gastritis, ulcer), intestinal medication, hyperthyroidism medication, weight-reducing medication, hepatitis medication, biliary medication, stomach-invigorating and digestion-promoting medication, antidiarrheal medication, constipation medication, diabetes medication, antiemetic medication, other medication for digestive tract diseases, spontaneous perspiration medication, qi-supplementing medication, blood-supplementing medication, qi-supplementing and blood-supplementing medication, lipid-lowering medication, cerebrovascular disease medication, cardiovascular disease medication, other medication for cardiovascular disease, burn and scald medication, other medication for dermatology, medication for dermatologic infectious disease, skin itch medication, acne medication, tinea medication, eczema medication, psoriasis medication, pediatric convulsion medication, other medication for pediatric use, anorexia medication, pediatric cold medication, pediatric antidiarrheal medication, pediatric supplement nutrition medication, pediatric cough-relieving and phlegm medication, gynecological medication for gynecological medication, other medication for gynecological medication gynecological inflammation medicine, gynecological miscarriage preventing medicine, female climacteric medicine, hyperplasia of mammary glands medicine, calculus medicine, urinary tract infection medicine, waist strengthening and kidney invigorating medicine, prostate medicine, other medicine for urinary disease, throat medicine, oral ulcer medicine, dental medicine, cataract medicine, ophthalmic other medicine, rhinitis medicine, otology medicine, nasal other medicine, laryngeal other medicine, tumor disease type other medicine, osteoporosis medicine, rheumatalgia medicine, traumatic injury medicine, orthopedic other medicine, orthopedics analgesic medicine, nervous system disease other medicine, headache medicine (migraine), shock deficiency and summer heat relieving medicine, nerve soothing and brain nourishing medicine, antiepileptic medicine, dizziness medicine, antidepressant, mania dryness medicine, common cold medicine, heat clearing and detoxicating medicine, cough relieving and phlegm eliminating and asthma relieving medicine, respiratory disease other medicine, other medications and hemostatic agents.
S13, setting codes corresponding to the major classes and the sub-classes, and generating product classification codes;
specifically, referring to fig. 3, step S13 further includes generating a product information code, a manufacturer information code, and a package number code, where the product classification code, the product information code, the manufacturer information code, and the package number code are connected by a symbol "-" to form a product code. The product classification code is 6-bit characters, the product information code is 21-bit characters, the manufacturer information code is 11-bit characters, and the packing number code is 6-bit characters.
The encoding structure of the product classification codes is shown in table 1.
TABLE 1
In this embodiment, the subclasses are divided into one or more subclasses, and the subclasses are divided into one or more minimum classes.
It can be seen that the product classification code is divided into five layers. The first layer code is a product property classification code, and the value of the first layer code is fixed as Z to represent the Chinese patent medicine; the first class classification code of the representative product of the second layer code corresponds to the major class, and the value range of the first class classification code is A-V; the secondary classification code of the representative product of the third layer code corresponds to the subclass and has a value range of 0-99; the third class code of the representative product of the fourth layer code corresponds to the subclass, and the value range is A-Z or 0, and the blank time is 0; the representative product four-level classification code of the fifth layer code corresponds to the minimum class, and the value range is 0-9, and the blank time is 0.
In one embodiment, the codes corresponding to each of the major and minor classes are shown in table 2.
TABLE 2
Further, the step S3 specifically includes: step S31, setting a definition range of the Chinese patent medicine; step S32, acquiring all data of the data table; and step S33, extracting data in the data table according to the definition range of the Chinese patent medicine as the sampling data.
Wherein, the definition range of the Chinese patent medicine comprises five types, wherein,
the first type is that all medicines with the approval clerical number of the national medicine standard Z.
The second type is that of the imported drugs, the chinese drugs in the asian countries or regions are similar to those of the traditional Chinese drugs belonging to the first type.
The third type is that the approval document is the national drug standard H and other dosage forms with the same component belong to the first type of drugs. For example, if the approval document of puerarin injection is national standard character H and the approval document of puerarin tablet belonging to other dosage forms of puerarin injection is national standard character Z, the puerarin injection meets the definition range of the third type; in addition, the approved document of the imported ginkgo leaf preparation is national standard character H, and the approved document of the domestic ginkgo leaf preparation is national standard character Z, so that the imported ginkgo leaf preparation also accords with the definition range of the third type.
The fourth type is a medicine with approval document number of national medicine standard H and main component and domestic Chinese patent medicines for treating the same disease clinically. For example, the approval document of silymarin capsule is national medicine standard H, the main component thereof is silymarin, and the approval document of Yiganling tablet containing 77mg silymarin is national medicine standard Z, then silymarin capsule conforms to the definition range of the fourth type.
The fifth type is to extract medicines containing various uncertain effective ingredients from natural plants, such as galutes extract tablet.
The application solves the problem of data omission caused by fuzzy definition of part of Chinese patent medicines in the classification process by accurately dividing the definition range of the Chinese patent medicines by combining approval paper numbers, clinical application and medicine components and extracting sampling data according to the definition range.
Further, the step S4 specifically includes:
and step S41, performing data processing on the sampling data. The data processing comprises data specification processing, experience value processing, data amplification processing and data overall checking. Wherein, the data normalization process is to convert the data into a certain standard form so as to facilitate the subsequent processing and analysis. Common data normalization methods include min-max normalization, z-score normalization, decimal scale normalization, and the like. The data normalization processing can eliminate the dimension influence in the data, so that different indexes have comparability, and the accuracy and the interpretability of the data are improved. Empirical value processing refers to processing and modifying data using expert experience or domain knowledge. Experience value processing is commonly used for data missing and outlier processing, missing data can be filled in by means of average value, median, mode and the like, and outliers can be identified and removed by means of box diagram and the like. The data amplification processing means that the sample capacity is increased by transforming and expanding the original data, thereby improving the reliability and generalization capability of the data. Common data amplification methods include upsampling, downsampling, interpolation, balanced sampling, and the like. The data amplification treatment can effectively reduce the risk of overfitting and improve the generalization capability of the model. By the data processing means, the quality and the reliability of data can be improved, so that the effects of subsequent analysis and modeling are improved.
S42, analyzing the sampling data by referring to the Chinese patent medicine classification standard to obtain an analysis result; wherein, the analysis result at least comprises indication, main function, main component, approval document, specification, dosage form, production enterprises and clinical application information of the Chinese patent medicine. In addition, the analysis results include the drug common name, administration route, unit price, quantity, amount, amplified quantity, and amplified amount.
And step S43, matching product classification codes according to the analysis result.
Further, before step S1, the classification method of the present application further includes: the Chinese patent medicine data are arranged into a data table and stored into a Chinese patent medicine database, and metadata of the Chinese patent medicine database are generated at the same time. Specifically, in the process of arranging the data of the Chinese patent medicine into a data table, a table is firstly generated, and the table is provided with a unified table head, hospital codes and the fid of the Chinese patent medicine, wherein the fid represents the unique code of each medicine; and then checking total data, including checking whether the count data is complete, whether the count form is consistent with the past and whether the count number is similar to the past, wherein the count data comprises the following fields: medicine name, manufacturer, specification, quantity, and stock.
Further, in order to facilitate statistics and classification of data by the chinese patent drug database operator, metadata of the chinese patent drug database includes a table name of each data table and description information of data, and a field name, a field type, and data length accuracy limitation information of each field in each data table. According to the method, metadata can provide comprehensive description and description of data and objects in the Chinese patent medicine database, and convenience is brought to Chinese patent medicine database administrators and developers to manage and maintain the Chinese patent medicine database. Further, step S2 is specifically to obtain a data table in a database of the Chinese patent medicine according to the metadata. By utilizing the metadata, the data and the objects in the Chinese patent medicine database can be quickly searched, the structure and the attribute of the data and the objects and the relation among the data and the objects can be known, and therefore the data and the objects in the Chinese patent medicine database can be better understood and used.
The foregoing is merely illustrative and explanatory of the application, as it is well within the scope of the application as claimed, as it relates to various modifications, additions and substitutions for those skilled in the art, without departing from the inventive concept and without departing from the scope of the application as defined in the accompanying claims.

Claims (10)

1. A classification method of Chinese patent medicine data is characterized in that: the method comprises the following steps:
setting classification standards and types of Chinese patent medicines;
acquiring a data table in a database of the Chinese patent medicine;
extracting part of field data in the data table as sampling data;
analyzing the sampling data and matching product classification codes;
wherein, the set Chinese patent medicine classification standard and Chinese patent medicine type specifically comprise: formulating the classification standard of the Chinese patent medicine; dividing the Chinese patent medicines into a plurality of major classes and a plurality of subclasses according to the Chinese patent medicine classification standard; setting codes corresponding to the major classes and the sub-classes, and generating the product classification codes;
wherein, the classification standard of the Chinese patent medicine is as follows: drugs of a single indication are categorized according to the indication; the Chinese patent medicines with single function indications of multiple indications are classified according to the function indications; the Chinese patent medicines with multiple indications and multiple functions are classified according to the medicines of other dosage forms with the same Chinese patent medicine variety; the multi-indication multifunctional main-treatment Chinese patent medicines which cannot be classified by referring to medicines of other dosage forms with the same Chinese patent medicine variety are classified according to the clinical application of manufacturing enterprises.
2. The method for classifying data of a chinese patent medicine according to claim 1, wherein: the number of the major classes is 13, and the number of the sub-classes is 80.
3. The method for classifying data of a chinese patent medicine according to claim 1, wherein: the product classification codes are divided into five layers; the first layer code is a product property classification code, and the value of the first layer code is fixed as Z to represent the Chinese patent medicine; the second layer code represents a first class code of the product, and the value range of the first class code is A-V; the third layer code represents a product secondary classification code, and the value range is 0-99; the third class code of the representative product of the fourth layer code has a value range of A-Z or 0 and is 0 when empty; the representative product four-level classification code of the fifth layer code has a value range of 0-9 and is 0 when empty.
4. The method for classifying data of a chinese patent medicine according to claim 1, wherein: the extracting the sampling data in the data table comprises the following steps:
setting a definition range of the Chinese patent medicine;
acquiring all data of the data table;
and extracting data in the data table according to the definition range of the Chinese patent medicine to serve as the sampling data.
5. The method for classifying data according to claim 4, wherein: the definition range of the Chinese patent medicine comprises:
all medicines of national approved 'national medicine standard Z';
chinese medicine in imported medicines and medicines similar to Chinese patent medicine in other countries or regions of Asia;
belongs to the Chinese medicine standard character H and other dosage forms with the same components belong to Chinese patent medicines;
belongs to the Chinese medicine standard H, and the main component and a plurality of Chinese patent medicines in China are medicines for treating the same disease clinically;
a medicine containing various uncertain effective components is extracted from natural plants.
6. The method for classifying data of a chinese patent medicine according to claim 1, wherein: the analyzing the sampled data and matching product classification codes specifically comprises the following steps:
performing data processing on the sampling data;
analyzing the sampling data by referring to the Chinese patent medicine classification standard to obtain an analysis result;
and matching product classification codes according to the analysis result.
7. The method for classifying data according to claim 6, wherein: the data processing includes data specification processing, experience value processing, data amplification processing and data overall inspection.
8. The method for classifying data of a chinese patent medicine according to claim 1, wherein: before the classification standard and the type of the Chinese patent medicine are set, the method further comprises the following steps: the Chinese patent medicine data are arranged into a data table and stored into a Chinese patent medicine database, and metadata of the Chinese patent medicine database are generated at the same time.
9. The method for classifying data according to claim 8, wherein: the metadata includes a table name of each data table and description information of data, and a field name, a field type, and data length accuracy limit information of each field in each data table.
10. The method for classifying data according to claim 8, wherein: the data table in the Chinese patent medicine database is obtained, and specifically, the data table in the Chinese patent medicine database is obtained according to the metadata.
CN202310367188.2A 2023-04-07 2023-04-07 Classification method for Chinese patent medicine data Pending CN116955497A (en)

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