Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

PURPOSE: 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 boo...

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Detalhes bibliográficos
Publicado no:Med Phys
Main Authors: Deist, Timo M., Dankers, Frank J. W. M., Valdes, Gilmer, Wijsman, Robin, Hsu, I‐Chow, Oberije, Cary, Lustberg, Tim, van Soest, Johan, Hoebers, Frank, Jochems, Arthur, El Naqa, Issam, Wee, Leonard, Morin, Olivier, Raleigh, David R., Bots, Wouter, Kaanders, Johannes H., Belderbos, José, Kwint, Margriet, Solberg, Timothy, Monshouwer, René, Bussink, Johan, Dekker, Andre, Lambin, Philippe
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2018
Assuntos:
BIOLOGICAL PHYSICS AND RESPONSE PREDICTION
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6095141/
https://ncbi.nlm.nih.gov/pubmed/29763967
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.12967
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