Knowledge discovery in Chinese herbal medicine: a machine learning perspective

Traditional Chinese Medicine (TCM) has attracted more and attention due to its remarkable effects on treating diseases, herbal medicine (CHM) is an important partition of TCM, rich in natural active ingredients. Researchers are trying multiple analytical methods dig out valuable information about CHM reveal the principle TCM. Machine learning playing role studies. Knowledge discovery using machine mainly includes quality control CHM, network pharmacology medical prescriptions composed by aiming understand TCM better, provide efficiency production find novel treatment disease not curable nowadays. In this paper, we summarized basic idea frequently used classification clustering algorithms, introduced pre-processing algorithms commonly simplify accelerate procedure, presented current status algorithms’ applications knowledge discussed challenges future trends learning’s application CHM. It believed that paper provides a insight for starters apply study catch up recent related researches.