Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers
Abstract
Machine learning classification algorithms (classifiers) for prediction of treatment response are becoming more popular in radiotherapy literature. General Machine learning literature provides evidence in favor of some classifier families (random forest, support vector machine, gradient boosting) in terms of classification performance. The purpose of this study is to compare such classifiers specifically for (chemo)radiotherapy datasets and to...
Paper Details
Title
Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers
Published Date
Jun 13, 2018
Journal
Volume
45
Issue
7
Pages
3449 - 3459
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