Decision Tree-Based Body Constitution Diagnosis System for Traditional Chinese Medicine

Cheng-Chan Yang; Shi-Jim Yen; Xian-Dong Chiu; Kuo-Chu Wu; Shih-Cheng Ye; San-Hua Su; Hsiao-Yi Huang

doi:10.1155/2022/5560087

Decision Tree-Based Body Constitution Diagnosis System for Traditional Chinese Medicine

Evid Based Complement Alternat Med. 2022 Mar 7:2022:5560087. doi: 10.1155/2022/5560087. eCollection 2022.

Authors

Cheng-Chan Yang^{1

2}, Shi-Jim Yen³, Xian-Dong Chiu³, Kuo-Chu Wu³, Shih-Cheng Ye³, San-Hua Su¹, Hsiao-Yi Huang¹

Affiliations

¹ Department of Chinese Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.
² School of Post Baccalaureate Chinese Medicine, Tzu Chi University, Hualien, Taiwan.
³ Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan.

Abstract

This study aimed to establish a method for fast and accurate determination of body constitution types from the body constitution questionnaire (BCQ) by employing a decision tree model. The model was trained for 4 classes, namely, Yin-Xu, Yang-Xu, Phlegm and Blood Stasis, and Normal, and it achieved 67% accuracy for the testing dataset. The model also reduced the required number of BCQ questions from 44 to 3-6, depending on the responses. Lastly, we developed the Traditional Chinese Medicine (TCM) body constitution online diagnosis system using our model to collect data digitally and use it more practically and efficiently. This system can assist doctors to improve the diagnosis and treatment in TCM practice.