Pulse diagnosis five-internal-organ state classification method and device and storage medium

Abstract

The invention discloses a pulse diagnosis five-internal-organ state classification method and device and a storage medium, and relates to the field of intelligent traditional Chinese medicine, and the method comprises the steps: obtaining a to-be-processed data set and coding label data corresponding to five-internal-organ state categories; performing data processing on the to-be-processed data set to obtain a pulse condition signal data set; performing feature processing on the pulse condition signal data set to obtain two-dimensional array data; inputting the two-dimensional array data and the coded label data into a pulse diagnosis five-internal-organ state classification model for classification processing to obtain pulse diagnosis five-internal-organ state classification data; wherein the pulse diagnosis five-internal-organ state classification model is obtained through training according to LightGBM optimal parameters, and the LightGBM optimal parameters are obtained after parameter optimization is conducted on a LightGBM algorithm according to a genetic algorithm. By means of the five-internal-organ state classification method for pulse diagnosis, the accuracy rate of conducting pulse diagnosis classification and recognition on the five-internal-organ state is improved, and the rate of classifying five-internal-organ state data for pulse diagnosis is increased.

Description

technical field [0001] The invention relates to the field of intelligent traditional Chinese medicine, in particular to a method, equipment and storage medium for pulse diagnosis and classification of five viscera states. Background technique [0002] At present, the recognition and classification technology of pulse diagnosis uses traditional machine learning technology or a deep neural network with a small number of layers to complete the classification and recognition task of pulse diagnosis. However, the recognition accuracy and real-time performance of the current pulse diagnosis and classification technology are low, which is not conducive to accurate classification and recognition of the five internal organs states, and cannot quickly diagnose the classification data of the five internal organs states of the patient. Contents of the invention [0003] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, ...

AI Technical Summary

Problems solved by technology

However, the recognition accuracy and real-time performance of the current pulse diagnosis and classification technology are low, which is not conducive to accurate classification and recognition of the state of the five internal organs, nor can it quickly diagnose the classification data of the five internal organs state of the patient.

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