Neural Network-Based Study about Correlation Model between TCM Constitution and Physical Examination Indexes Based on 950 Physical Examinees.

Journal: Journal of healthcare engineering

PMID: 32952990

Abstract

PURPOSE: To establish the correlation model between Traditional Chinese Medicine (TCM) constitution and physical examination indexes by backpropagation neural network (BPNN) technology. A new method for the identification of TCM constitution in clinics is proposed, which is trying to solve the problem like shortage of TCM doctor, complicated process, low efficiency, and unfavorable application in the current TCM constitution identification methods.

Authors

Yue Luo

Chengdu University of Traditional Chinese Medicine, No. 1166 Liutai Avenue, Wenjiang District, Chengdu 611137, China.
Bing Lin

Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, No. 37 Shierqiao Avenue, Jinniu District, Chengdu 610075, China.
Shuting Zhao

Chengdu University of Traditional Chinese Medicine, No. 1166 Liutai Avenue, Wenjiang District, Chengdu 611137, China.
Li He

School of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.
Chuanbiao Wen

Chengdu University of Traditional Chinese Medicine, No. 1166 Liutai Avenue, Wenjiang District, Chengdu 611137, China.

Keywords

Algorithms Artificial Intelligence Blood Chemical Analysis Computer Systems Data Collection Humans Lipids Liver Function Tests Medicine, Chinese Traditional Models, Statistical Neural Networks, Computer Pattern Recognition, Automated Physical Examination Programming Languages Reproducibility of Results Software Urinalysis

External Resources

View on PubMed Access via DOI PubMed (32952990)

Neural Network-Based Study about Correlation Model between TCM Constitution and Physical Examination Indexes Based on 950 Physical Examinees.

Abstract

Authors

Keywords

External Resources

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