Prediction of Cyclosporine A Blood Concentration by Genetic Algorithm and BP Neural Network

摘要：

This paper utilizes the BP neural network to establish a prediction model of cyclosporine A blood concentration by analyzing the factors which influence the blood concentration. To avoid its defect of easily getting into the local extremum, we present a prediction model that is based on the genetic algorithm and BP network (GA-BP) by using the genetic algorithm with a good global searching ability to solve the problem. Meanwhile, based on the clinical data from a hospital, we conclude that this model is an effective and accurate method to predict the blood concentration of cyclosporine.

关键词： boold concentration genetic algorithm BP neural network prediction model

作者: Xia Jie Zhou Liu-zheng Feng Ning-han Sun Zeng-xian Zhang Jiong Li Shan

作者单位: Drug department Nanjing Medical University Nanjing, China Department of Urinary Surgery Affiliated Hospital of JangSu University Zhen jiang,China Department of Urinary Surgery Peoples Hospital of Jiangsu Province Nanjing, China Department of Drug Peoples Hospital of Lianyungang Lianyungang,China Computer and math staff room Nanjing Medical University NanJing, China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 729-732

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）