人工神经网络预测肝移植术受者他克莫司血药浓度
Yao xue xue bao = Acta pharmaceutica Sinica（2012）
Abstract
建立人工神经网络用于估算他克莫司血药浓度.收集37例肝移植受者口服他克莫司的176份稳态全血浓度数据,采用遗传算法配合动量法优化网络参数,建立人工神经网络.人工神经网络平均预测误差(MPE)与平均绝对误差(MAE)分别为(0.02±2.40) ng·mL-1和(1.93±1.37) ng.mL-1,84.6％血药浓度数据绝对预测误差≤3.0 ng·mL-1.人工神经网络的准确性及精密度优于多元线性回归.结果表明,人工神经网络预测的相关性、准确性和精密度较好,简便迅捷,可用于预测他克莫司血药浓度.
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Key words
Artificial neural network,Liver transplantation,Tacrolimus
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