Personalized Modeling for Drug Concentration Prediction Using Support Vector Machine

摘要：

Building a personalized model to describe the drug concentration inside the human body for each patient is highly important to the clinical practice and demanding to the modeling tools. Instead of using traditional explicit methods, in this paper we propose a machine learning approach to describe the relation between the drug concentration and patients features. Machine learning has been largely apphed to analyze data in various domains, but it is still new to personalized medicine, especially dose individualization. We focus mainly on the prediction of the drug concentrations as well as the analysis of different features influence. Models are built based on Support Vector Machine and the prediction results are compared with the traditional analytical models.

作者: Wenqi You Nicolas Widmer Giovanni De Micheli

作者单位: Integrated Systems Laboratory EPFL, Switzerland 1015 University Hospital Center and University of Lausanne, Switzerland 1011

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 1518-1522

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）