Open AccessBP for the Natures, Flavour, Meridian Tropism of Chinese Medicine and Hepatoprotective Effect
Author(s) -
Juefu Liu,
Lu Xia
Publication year - 2011
Publication title -
journal of algorithms and computational technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.234
H-Index - 13
eISSN - 1748-3026
pISSN - 1748-3018
DOI - 10.1260/1748-3018.5.1.119
Subject(s) - meridian (astronomy) , tropism , traditional chinese medicine , flavour , artificial neural network , relation (database) , traditional medicine , computer science , medicine , mathematics , artificial intelligence , econometrics , data mining , chemistry , food science , virology , physics , alternative medicine , virus , pathology , astronomy
Estimating the risk of hepatoprotective effect for patients is necessary, since it affects the choice of treatment. This problem involves analysing data of traditional Chinese medicine which has complicated uncertain relation between nature, flavor and meridian tropism. We use Back Propagation (BP) neural network model to extend traditional statistical model. The model has been proved as one kind of fleetness, reliable evaluation method by example.