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Intelligent traditional Chinese medicine syndrome diagnosis method based on SSTM

A technology of intelligent diagnosis and TCM syndromes, applied in the direction of medical automation diagnosis, medical informatics, medical data mining, etc., can solve problems such as failure to reach the level of practical application, and achieve the effect of improving accuracy and reducing interference.

Active Publication Date: 2018-04-06
HUAIYIN INSTITUTE OF TECHNOLOGY
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AI Technical Summary

Problems solved by technology

The existing data analysis and mining technology for intelligent diagnosis of traditional Chinese medicine mainly adopts multivariate statistics and conventional data mining methods, which cannot effectively deal with the complex mining of syndrome diagnosis rules and fail to reach the level of practical application

Method used

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  • Intelligent traditional Chinese medicine syndrome diagnosis method based on SSTM
  • Intelligent traditional Chinese medicine syndrome diagnosis method based on SSTM
  • Intelligent traditional Chinese medicine syndrome diagnosis method based on SSTM

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Embodiment Construction

[0048] The present invention will be described in further detail below in conjunction with accompanying drawing, figure 1 It is a flowchart of the present invention.

[0049] 1. Selection of training sample set and prediction sample

[0050] The specific sample data comes from the National Population and Health Science Data Sharing Platform, which collects 21 kinds of TCM disease special database data, involving 1741 diseases, with a total of 127,541 pieces of data, and 51,144 pieces after removing the data without syndrome marks, further removing symptoms and After the number of syndromes is less than 3, there are 8,751 pieces of data; 90% of the pieces of data are randomly selected as the training set, and the remaining 10% are used as the test set. The specific format of the sample data is shown in Table 1.

[0051] Table 1 Example of training sample data

[0052]

[0053]

[0054]2. Construct SSTM. The theme of the model is represented by the dominant variable fro...

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Abstract

The invention provides an intelligent traditional Chinese medicine syndrome diagnosis method based on a SSTM. The method comprises steps that firstly, an electronic patient's document diagnosis and treatment record data set which can be recognized by a computer program is firstly inputted; secondly, the symptoms-syndrome theme model (SSTM) is constructed, parameter solution is carried out, and training is then carried out; and thirdly, a prediction sample is inputted, the slack SSTM is employed for incremental training, and intelligent syndrome diagnosis is carried out. The method is advantaged in that the method can be applied to a traditional Chinese medicine learning system, traditional Chinese medicine diagnosis knowledge learning and grasping difficulties are greatly reduced, the method can be further applied to each intelligent traditional Chinese medicine diagnosis and treatment system, and the method plays an important role in promoting intelligentization and standardization ofsyndrome diagnosis.

Description

technical field [0001] The invention relates to an intelligent diagnosis method of traditional Chinese medicine, in particular to an intelligent diagnosis method of syndromes of traditional Chinese medicine based on SSTM. Background technique [0002] "Syndrome differentiation and treatment" is one of the characteristics of traditional Chinese medicine. In the process of diagnosis and treatment of traditional Chinese medicine, a key link is "diagnosis", that is, doctors need to diagnose syndromes based on the patient's "four diagnostics" information-seeing, smelling, asking and feeling, so as to determine the treatment plan and prescription compatibility , "dialectics" reflects the knowledge, experience and level of Chinese medicine. Due to the complexity, diversity, and ambiguity of syndromes, it often takes several years or even ten years for TCM learners, especially young doctors, to master the "dialectical" laws. From the perspective of data mining, TCM especially The r...

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Application Information

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IPC IPC(8): G16H50/20G16H50/70
Inventor 马甲林陈伯伦张琳
Owner HUAIYIN INSTITUTE OF TECHNOLOGY
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