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    Developing and validating a survival prediction model for NSCLC patients through distributed learning across 3 countries.

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    Authors
    Jochems, A
    Deist, 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
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    Affiliation
    Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht
    Issue Date
    2017-10-01
    
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    Abstract
    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 Phys
    Journal
    International Journal of Radiation Oncology, Biology, Physics
    URI
    http://hdl.handle.net/10541/620578
    DOI
    10.1016/j.ijrobp.2017.04.021
    PubMed ID
    28871984
    Type
    Article
    Language
    en
    ISSN
    1879-355X
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.ijrobp.2017.04.021
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