Simplified Study of Constitution in Chinese Medicine Questionnaire Based on Genetic Algorithm and KNN Method
- VernacularTitle:基于遗传算法与KNN融合的中医体质量表简化研究
- Author:
Shutao GUAN
1
;
Hongyan LI
;
Xufeng LANG
;
Can LI
;
Zuojian ZHOU
;
Kongfa HU
;
Libin ZHAN
Author Information
- Keywords: Constitution of traditional Chinese medicine; CCMQ; Genetic algorithm; KNN algorithm
- From: World Science and Technology-Modernization of Traditional Chinese Medicine 2023;25(10):3364-3369
- CountryChina
- Language:Chinese
- Abstract: Objective Aiming at the problems of many items and long time to fill in the Constitution in Chinese Medicine Questionnaire(CCMQ)when evaluating individual constitution,the research uses artificial intelligence technology to select attributes,and to help construct a short version of the CCMQ.Methods Analyzing the constitution data provided by the Physical Examination Department of Jiangsu Province Hospital of Traditional Chinese Medicine,there are specific target variables as the classification of constitution types.Feature selection of genetic algorithm,cross-validation and KNN classification algorithm are used as filters to select problems,and the effect is evaluated by problem subset size,KNN classification accuracy and filling time.Results The method selected a short version of the CCMQ with 31 problems,and the average classification accuracy in the model was 86.16%,and the time was improved by 47.7%.Conclusion The algorithm can effectively find a better problem subset,achieve dimensionality reduction and have certain accuracy,thus helping to simplify the CCMQ.
