2012
IWISH 2012 Proceeding
RANSAC-based enhancement in drug concentration predictions using support vector machine
Authors: Wenqi You, Alena Simalatsar, Giovanni De Micheli
Abstract
Training Support Vector Machines (SVMs) to predict drugs concentrations is often difficult because of the high level of noise in the training data, due to various kinds of measurement errors. We apply RANdom SAmple Consensus (RANSAC) algorithm in this paper to solve this problem, enhancing the prediction accuracy by more than 40% in our particular case study. A personalized sample selection method is proposed to further improve the prediction result in most cases.
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