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Construction method and device for medical knowledge map

A technology of knowledge graph and construction method, applied in the field of computer applications, can solve the problems of little effect, no real-time and universal sharing, and a lot of manpower and material resources.

Active Publication Date: 2017-06-20
北京大数医达科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In actual diagnosis and treatment, due to the differences in knowledge reserve and clinical experience of medical personnel, different medical personnel often have different diagnosis methods and medication habits for the same disease or symptom, and some have achieved remarkable results. some have little effect
However, through the organization of medical personnel in the industry to exchange treatment experience, it not only requires a lot of manpower and material resources, but also does not have real-time and universal sharing

Method used

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  • Construction method and device for medical knowledge map
  • Construction method and device for medical knowledge map
  • Construction method and device for medical knowledge map

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] figure 1 It is a flow chart of a method for constructing a medical knowledge map provided by Embodiment 1 of the present invention. Such as figure 1 As shown, the method of this embodiment can be executed by a device for constructing a medical knowledge map, which can be implemented by means of hardware and / or software, and generally can be independently configured in a server or be implemented by a terminal and a server in cooperation. example method.

[0025] The method of this embodiment specifically includes:

[0026] S110. Obtain each medical keyword in the sample data and an association relationship between each medical keyword.

[0027] Exemplarily, the sample data may be resources containing medical knowledge, such as medical literature, medical experiment reports, and medical records. Medical keywords may be standard medical terms used to describe medical knowledge or synonyms, synonyms, abbreviations, etc. of each standard medical term. Specifically, each...

Embodiment 2

[0047] figure 2 It is a flowchart of a method for constructing a medical knowledge map provided by Embodiment 2 of the present invention, as shown in figure 2 As shown, in this embodiment, on the basis of the above embodiments, it is optional to calculate the correlation strength between each of the medical keywords according to the sample data and the correlation relationship, including: according to the correlation Determine the number of co-occurrence sample data of each of the medical keywords; count the sample data where each medical keyword is located, as the associated sample data of each of the medical keywords; The number of associated sample data, the number of co-occurring sample data, and the total number of sample data are used to calculate the correlation strength between each of the medical keywords.

[0048] Specifically, the method of this embodiment includes:

[0049] S210. Obtain each medical keyword in the sample data and an association relationship bet...

Embodiment 3

[0062] image 3 It is a flowchart of a method for constructing a medical knowledge map provided by Embodiment 3 of the present invention, as shown in image 3 As shown, in this embodiment, on the basis of the above embodiments, it is optional to calculate the correlation strength between the medical keywords based on the sample data and the correlation relationship, including: Attributes and affiliation of the medical keywords to construct at least one tree structure, wherein each node in the tree structure is each of the medical keywords with the same attribute and affiliation; according to the sample data, the The association relationship and the tree structure are used to calculate the association strength between each of the medical keywords.

[0063] Specifically, the method of this embodiment includes:

[0064] S310. Obtain each medical keyword in the sample data and an association relationship between each medical keyword.

[0065] S320. Construct at least one tree s...

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Abstract

The invention discloses a construction method and device for a medical knowledge map. The method comprises the following steps of obtaining all medical treatment key words in sample data and associations among the medical treatment key words; according to the sample data and the associations, calculating out association strength among the medical treatment key words; based on all the medical treatment key words and the association strength, constructing the medical knowledge map. By the adoption of the technical scheme, through the sample data, all the medical treatment key words obtained from the sample data and the associations among all the medical treatment key words, firstly, the association strength among all the medical treatment key words is calculated out, and then according to all the medical treatment key words and the association strength, the medical knowledge map is constructed. Not only can the associations among all the medical treatment key words be visually reflected, but also the strength of the associations among all the medical treatment key words can be determined, the rearrangement of medical knowledge in the sample data is facilitated, the experience is summarized, and the development of medicine is advanced.

Description

technical field [0001] The embodiments of the present invention relate to the field of computer application technology, and in particular to a method and device for constructing a medical knowledge map. Background technique [0002] Medical records are written records made by medical personnel on the occurrence, development, outcome, examination, diagnosis, treatment and other medical activities of patients. Medical records are not only a summary of clinical practice, but also a legal basis for exploring the law of diseases and handling medical disputes. They are the precious wealth of the country. [0003] In clinical medicine, effectively sorting out medical records and digging out doctors' clinical experience is of great significance to medical progress. In actual diagnosis and treatment, due to the differences in knowledge reserve and clinical experience of medical personnel, different medical personnel often have different diagnosis methods and medication habits for th...

Claims

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Application Information

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IPC IPC(8): G06F19/00G06N5/02G06F17/30
Inventor 邓侃邱鹏飞刘旭涛孙俊
Owner 北京大数医达科技有限公司
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