Developing and validating a survival prediction model for NSCLC patients through distributed learning across 3 countries.
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Authors
Jochems, ADeist, T
El Naqa, I
Kessler, M
Mayo, C
Reeves, J
Jolly, S
Matuszak, M
Ten Haken, R
van Soest, J
Oberije, C
Faivre-Finn, Corinne
Price, Gareth J
De Ruysscher, D
Lambin, P
Dekker, A
Affiliation
Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, MaastrichtIssue Date
2017-10-01
Metadata
Show full item recordAbstract
Tools for survival prediction for non-small cell lung cancer (NSCLC) patients treated with chemoradiation or radiation therapy are of limited quality. In this work, we developed a predictive model of survival at 2 years. The model is based on a large volume of historical patient data and serves as a proof of concept to demonstrate the distributed learning approach.Citation
Developing and validating a survival prediction model for NSCLC patients through distributed learning across 3 countries. 2017, 99 (2):344-352 Int J Radiat Oncol Biol PhysJournal
International Journal of Radiation Oncology, Biology, PhysicsDOI
10.1016/j.ijrobp.2017.04.021PubMed ID
28871984Type
ArticleLanguage
enISSN
1879-355Xae974a485f413a2113503eed53cd6c53
10.1016/j.ijrobp.2017.04.021