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《Chinese Journal of Clinical Pharmacy》 2013-01
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Individual administration model for sodium valproate established using artifitial neural network

Wang Jun;Fu Cuixiang;Wu Weiming;Wang Zengshou;Xu Hongxiang;Department of Pharmacy,The 2nd Affiliated Hospital of Wenzhou Medical College;School of Pharmacy Wenzhou Medical College;  
AIM To build a predictive model constructed by artificial neural network,and to provide individual administration reference for sodium valproate.METHODS The cases of the 200 outpatients' children with epilepsy were collected.Influence factors on concentration and dosage of sodium valproate were analyzed and model factors were determined.A scheme of two chained dosage prediction models was established by CA-BP algorithm,and some samples were used to validate the model.RESULTS A tentative program for individual administration was compiled.The predicted plasma concentration of sodium valproate for 30 patients demonstrated that the deviations of 21 samples were below 15%,those of 6 samples were between 15%-20%,and those of 3 samples exceeded 20%.CONCLUSION A individual administration research of sodium valproate could be attempted by artificial neural network.
【CateGory Index】: R96
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