OBJECTIVETo establish a scientific, rapid anti-aging prediction model.

METHODAccording to the institutional principle of Chinese prescription medicine and by using the theory and method of artificial neural network, a BP model was built up to cope with the relation between anti-aging and four natures, five flavors as well as meridian tropism of Chinese medicinal herbs.

RESULTThe accuracy that the model predicted the prescription's anti-aging index of superoxide dismutase (SOD), malondialdehyde (MDA), glutathione peroxidase (GSH-PX) was 93. 33%.

CONCLUSIONThe model can predict the efficacy of anti-aging prescription very well.

Aging ; drug effects ; metabolism ; Glutathione Peroxidase ; metabolism ; Malondialdehyde ; metabolism ; Medicine, Chinese Traditional ; methods ; Neural Networks (Computer) ; Prescription Drugs ; pharmacology ; Superoxide Dismutase ; metabolism