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.
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