Personalized modeling for drug concentration prediction using Support Vector Machine

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ID Serval
serval:BIB_61E65740D4EE
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Titre
Personalized modeling for drug concentration prediction using Support Vector Machine
Titre de la conférence
BMEI 2011, 4th International Conference on Biomedical Engineering and Informatics
Auteur(s)
You W., Widmer N., De Micheli G.
Adresse
Shanghai, China, October 15-17, 2011
Statut éditorial
Publié
Date de publication
2011
Peer-reviewed
Oui
Volume
3
Série
Proceeding of the 4th International Conference on Biomedical Engineering and Informatics
Pages
1523-1527
Langue
anglais
Résumé
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 applied 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.
Création de la notice
29/08/2012 10:25
Dernière modification de la notice
20/08/2019 14:18
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