Intelligent model for medicine standardization and medicine directory matching

A drug and model technology, applied in the information field, can solve problems such as inability to directly compare specifications and different description forms of specifications, and achieve the effects of wide application range, simple maintenance, and less data storage

Active Publication Date: 2021-06-15
深圳市全药网科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is difficult to directly compare drug data even with standard standardized descriptions, for example: Drug A (Metronidazole Injection-20ml: 0.1g) and Drug B (Metronidazole for Injection-0.1g)
The amount of

Method used

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  • Intelligent model for medicine standardization and medicine directory matching
  • Intelligent model for medicine standardization and medicine directory matching
  • Intelligent model for medicine standardization and medicine directory matching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] refer to figure 1 , the drug knowledge base construction related to the intelligent model includes the following modules:

[0047] M1 drug module: all listed drugs;

[0048] From the State Drug Administration, including domestic and imported drugs;

[0049] M2 classification module: Classify drugs according to the characteristics of drug preparations, build a drug knowledge base on this basis, describe all aspects of drugs from the perspective of preparations, and reflect the essence of drugs;

[0050] Firstly, according to the classification of chemical drugs, biological products, and Chinese patent medicines; secondly, according to the classification of preparation forms, drugs are divided into solid preparations, liquid preparations, creams, patches, pills, etc., for example: tablets and capsules are solid preparations, oral liquids , Mixture belongs to liquid preparation, see figure 2 ;

[0051] M3 data element module: Drugs are generally composed of basic elemen...

Embodiment 2

[0066] refer to Figure 4 , the drug standardization intelligent model includes the following modules:

[0067] M1 identifier module: select the generic name, dosage form, specification, specification attribute, packaging material, and the attribute value of the manufacturer data element in the drug knowledge base as the identifier of each element of the drug, including standard description and non-standard description; each data element The attribute values ​​of different data elements are combined into the identification phrase of the drug, the attribute values ​​of the same data element are OR relationship, and the attribute values ​​of different data elements are AND relationship

[0068] Figure 5 The generic name of traditional Chinese medicine 31 is identified by azithromycin, the identified specification is 0.125g or 12.5wiu, the dosage form is hard capsule or capsule, and the manufacturer is identified by Xi’an Daheng Pharmaceutical Co., Ltd. or Xi’an Daheng , then ...

Embodiment 3

[0086] refer to Figure 7 , the drug catalog matching intelligent model includes the following modules:

[0087] M1 basic data module: Select the relevant data in the drug knowledge base as the basic data of the model, including classification module, data element module, data element attribute module, etc. The data model of the drug is established on the basis of the classification of drug preparations, from various aspects A standardized description of the preparation characteristics of the drug provides a data basis for the comparison of the essence of the drug, see image 3 ;

[0088] M2 analysis catalog module: Determine the range of analytical drugs included in the comparison according to the analysis catalog, and assign the standard ID of the drug knowledge base to the drugs in the catalog through the drug standardization intelligent model;

[0089] For example, analysis catalog A contains drugs with standard IDs 1-12, see image 3 ;

[0090] M3 reference catalog mo...

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Abstract

The invention discloses an intelligent model for medicine standardization and medicine directory matching. The intelligent model comprises an identification word module, wherein a medicine is generally composed of elements such as a general name, a dosage form, a specification, a specification attribute, a packing material and a production enterprise; a medicine knowledge base is constructed for all listed medicines, essential and common descriptions of the medicines are selected from the knowledge base to serve as identification words of all elements of the medicines, and the identification words are further combined into identification word groups of the medicines; the medicine is standardized through the medicine identification phrases and the distinguishing phrases, limitation of medicine information description sequences and irrelevant description character differences is avoided, complicated text calculation processes and complicated result analysis are not needed, the intelligent model is simple, efficient and accurate, and possibility is provided for medicine information interconnection and information sharing; basic data of the medicine standardization model are identification words and distinguishing words of the medicine instead of massive original information of the medicine, maintenance is easy, and the data storage amount is small.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to an intelligent model for drug knowledge base construction, drug standardization, and drug catalog matching. Background technique [0002] The sources of health data are diverse, the content is complex, and the information is scattered. It is currently difficult to achieve interconnection and information sharing. Among them, drug data comes from various links such as drug research and development, production, circulation, and use, and similar problems also exist. Drug standardization is the key to information sharing and resource integration. It provides possibilities for big data analysis and data mining in the drug and even the entire health field, and is the basis for further building intelligent analysis models and forming business analysis reports. [0003] At present, the commonly used method is to judge the text similarity between the sub-information of th...

Claims

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Application Information

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IPC IPC(8): G06F16/21G06F16/2457G06F16/248
CPCG06F16/211G06F16/2457G06F16/248Y02P90/30
Inventor 陈萌菲卓绮雯孙涛蔡少莹李晓彤朱仁古冬青
Owner 深圳市全药网科技有限公司
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