Developing and validating a survival prediction model for NSCLC patients through distributed learning across 3 countries.
El Naqa, I
Ten Haken, R
van Soest, J
Price, Gareth J
de Ruysscher, D
AffiliationDepartment of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht
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AbstractTools 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.
CitationDeveloping 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
JournalInternational Journal of Radiation Oncology, Biology, Physics