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

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Title:	Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers
Author(s):	Deist, Timo M.; Dankers, F.J.W.M.; Valdes, Gilmer; Wijsman, R.; Hsu, I-Chow; Oberije, C.; Bots, W.T.C.; Kaanders, J.H. ; Monshouwer, R.; Bussink, J. ; Dekker, A.; Lambin, P.
Publication year:	2018
Source:	Medical Physics, vol. 45, iss. 7, (2018), pp. 3449-3459
ISSN:	0094-2405
DOI:	https://doi.org/10.1002/mp.12967
Publication type:	Article / Letter to editor
Please use this identifier to cite or link to this item : https://hdl.handle.net/2066/194355
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Subject:	All institutes and research themes of the Radboud University Medical Center Radboudumc 9: Rare cancers RIHS: Radboud Institute for Health Sciences Tijdelijke code tbv inlezen publicaties Radboudumc - Alleen voor gebruik door Radboudumc
Organization:	Radiation Oncology
Journal title:	Medical Physics
Volume:	vol. 45
Issue:	iss. 7
Page start:	p. 3449
Page end:	p. 3459