人工神经网络用于华法林剂量模型的研究进展

Research progress of artificial neural network in warfarin dosage model

基于人工神经网络的华法林药物剂量预测模型利用神经网络对于非线性函数的拟合能力,对华法林服用者的数据进行训练,以此建立的模型能够为服用华法林进行抗凝治疗的患者预测起始或维持剂量,有助于减少服药者抗凝不足造成栓塞或抗凝过度导致出血的风险。根据近年神经网络华法林药物剂量预测模型的研究进展进行归纳评述,并对神经网络及人工智能用于医疗的前景进行展望。

The prediction model of warfarin drug dose based on artificial neural network uses the fitting ability of neural network to nonlinear function to train the data of warfarin users.The established model can predict the initial or maintenance dose of patients taking warfarin for anticoagulation treatment,which is helpful to reduce the risk of embolism due to insufficient anticoagulation or bleeding due to excessive anticoagulation in patients taking warfarin.According to the research progress of neural network-warfarin drug dose prediction model in recent years,the prospect of neural network and artificial intelligence used in medical treatment is prospected.