Publication

RANSAC-based Enhancement in Drug Concentration Prediction Using Support Vector Machine

Giovanni De Micheli, Alena Simalatsar, Wenqi You Dubout
2012
Conference Papers

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.

Official source

https://infoscience.epfl.ch/entities/publication/3733fac4-7e16-48b5-9b25-b869970220eb

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RANSAC-based Enhancement in Drug Concentration Prediction Using Support Vector Machine

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