Traditional Chinese medicine diagnosis method and system based on k-nearest neighbor labeled specific weight characteristics

Abstract

The invention provides a traditional Chinese medicine diagnosis method and system based on specific weight characteristics of k-nearest neighbor labels to solve the problems. The method includes the steps of acquiring characteristic data weight information of cases of different types according to a preset weight determination strategy; according to the characteristic data weight information, acquiring a weighted Euclidean distance between any two cases, and selecting the preset number of cases having the minimum weighted Euclidean distances; subjecting the selected cases to ML-LSWAKNN (multi-label learning of specific weighted adjustment k-nearest neighbor) to acquire evaluation indexes corresponding to the selected cases. The method and the system have the advantages that the influence of characteristic weighting upon classifying is fully considered, and classifying precision is greatly improved.

Description

technical field [0001] The invention belongs to the field of information processing of traditional Chinese medicine, and in particular relates to a multi-label traditional Chinese medicine syndrome diagnosis method and system based on specific weight characteristics of k-nearest neighbor labels. Background technique [0002] Syndrome differentiation and treatment are the characteristics and essence of traditional Chinese medicine. Syndrome is a summary of the overall response to pathophysiological changes of human diseases. It is the result of syndrome differentiation and the basis for treatment. The traditional method system of syndrome differentiation is rich in connotation and has experienced the test of long-term clinical practice of TCM. However, in the system of TCM syndrome differentiation method, the diagnosis of TCM syndrome is based on the intuitive method of looking, smelling, asking, and feeling. Doctors make subjective judgments, and this kind of artificial judg...

AI Technical Summary

Problems solved by technology

However, in the clinical practice of traditional Chinese medicine, syndromes often do not appear singly, but are often intertwined. Traditional data mining technology cannot perform modeling and analysis at the same time, and the weight of symptoms (signs) features are ignored in the traditional analysis process. Therefore, At present, the objectification of TCM syndrome diagnosis has not yet achieved satisfactory results

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