Chinese medicine incompatibility prediction method based on supervision learning framework

A technology of incompatibility and supervised learning, applied in medicine or prescription, informatics, medical informatics, etc., can solve problems such as complicated operation process, manpower and material resources consumption, and inability to predict contraindication relationship

Active Publication Date: 2019-12-27
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

A medical experiment method that is effective for a certain incompatibility is not applicable to other incompatibility, so the method based on medical experiment is not universal
[0010] (2) Based on the medical experiment method, the operation process is complicated, the experiment costs a lot of money, and it also consumes manpower and material resources, and has great limitations
They cannot predict contraindication relationships between unknown drugs
However, there are many traditional Chinese medicines, and any combination of two medicines may produce adverse drug reactions.

Method used

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  • Chinese medicine incompatibility prediction method based on supervision learning framework
  • Chinese medicine incompatibility prediction method based on supervision learning framework
  • Chinese medicine incompatibility prediction method based on supervision learning framework

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0133] In the process of predicting the incompatibility of traditional Chinese medicine, predict whether there is incompatibility between iron and Dihuang.

[0134] Firstly, extract the efficacy and taste properties of iron and earth yellow in the "Dictionary of Chinese Medicine" as follows:

[0135] 1) Efficacy attributes:

[0136] Iron: calming the liver, suppressing convulsions, detoxifying, suppressing sores, nourishing blood

[0137] Dihuang: heat-clearing, nourishing yin, nourishing blood, regulating dredging, nourishing yin, cooling blood

[0138] 2) Sex and taste attributes:

[0139] Iron: cool, pungent

[0140] Dihuang: slightly cold, sweet, bitter

[0141] If taboo threshold I min = 0.600., then the attributes of iron and Dihuang are input into the Chinese medicine incompatibility prediction model respectively, and the calculated incompatibility score is 0.784, which is greater than the threshold I min . Therefore, it is predicted that there is an incompatibil...

Embodiment 2

[0143] Table 1: The symbols and their meanings mainly involved in the present invention

[0144]

Embodiment 3

[0145] Example 3: The implicit relationship between drug attributes and incompatibility

[0146] In the study of traditional Chinese medicine drug pairs, it was found that drugs with similar properties usually have synergistic effects. Based on this research conclusion, the present invention puts forward the hypothesis that "drugs constituting incompatibility usually have dissimilar attributes", and carry out statistical tests for efficacy, property and taste respectively to verify the above hypothesis.

[0147] Hypothesis 1: Incompatible drugs have dissimilar efficacy, i.e. satisfy

[0148] sim e (h i , h j )e (h k , h l ), Y ij =Y ji =1,Y kl =Y lk =0,

[0149] where (h i , h j ) is an incompatible drug pair, (h k , h l ) is an incompatible drug pair, sim e (h i , h j ) = U(i,;) U(j,;) T Indicates the incompatibility drug pair (h i , h j ) Chinese medicine h i and h j Similarity of efficacy, sim e (h k , h l ) = U(k,;) U(l,;) T Indicates an incompati...

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Abstract

The invention belongs to the technical field of Chinese medicine compatibility data mining, and discloses a Chinese medicine incompatibility prediction method based on a supervision learning framework. The method comprises the steps that the data of incompatibility and drug attributes are collected; an incompatibility learning basic model is established; the implied relationship between the drug attributes and Chinese medicine incompatibility is verified, and the drug attributes are extracted from classic ancient books as the supervision information of the model; the basic model and constraintterms are combined to build a Chinese medicine incompatibility learning model to optimize the model parameters; and finally the model is used to predict the incompatibility relationship. According tothe invention, the incompatibility relationship between drugs can be modeled; the Chinese medicine incompatibility learning model is built by introducing the efficacy, properties and flavors of drugs, and the relationship between attributes; the Chinese medicine incompatibility relationship is revealed from a new perspective; the space for medical experiments is greatly reduced; and the efficiency of incompatibility identification is improved.

Description

technical field [0001] The invention belongs to the technical field of Chinese medicine compatibility data mining, in particular to a method for predicting Chinese medicine compatibility taboos based on a supervised learning framework. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Traditional Chinese medicine is a precious wealth created by the Chinese nation over the past five thousand years and has made great contributions to the prosperity of the nation. It has a complete and systematic theoretical system. The compatibility of traditional Chinese medicine prescriptions is an important means of TCM treatment, and as the core of TCM treatment, it embodies the laws of TCM treatment. [0004] The "seven emotions" proposed in "Shen Nong's Materia Medica" is the general outline of the compatibility theory of traditional Chinese medicine, which refers to seven aspects of the compatibility relationship ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G16H20/13
CPCG16H50/70G16H20/13
Inventor 李巧勤刘勇国杨尚明朱嘉静张云肖迪尹傅翀
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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