TY  -  
T1  - Predicting Meridian in Chinese traditional medicine using machine learning approaches 
SN  -  /  
UR  - http://hdl.handle.net/10138/308414 
T3  -  
A1  - Wang, Yinyin; Jafari, Mohieddin; Tang, Yun; Tang, Jing 
A2  -  
PB  -  
Y1  - 2019 
LA  - eng 
AB  - Plant-derived nature products, known as herb formulas, have been commonly used in Traditional Chinese Medicine (TCM) for disease prevention and treatment. The herbs have been traditionally classified into different categories according to the TCM Organ systems known as Meridians. Despite the increasing knowledge on the active components of the herbs, the rationale of Meridian classification remains poorly understood. In this study, we took a machine learning approach to explore the classificatio... 
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KW  - 3122 Cancers; herbs; machine learning; TRADITIONAL CHINESE MEDICINE; IN-SILICO PREDICTION; DRUG DISCOVERY; NATURAL-PRODUCTS; HERBAL MEDICINE; SOLUBILITY; POLYPHARMACOLOGY; EXTRACTION; TOOL; 1182 Biochemistry, cell and molecular biology; 111 Mathematics 
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