<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Germer, Sebastian</style></author><author><style face="normal" font="default" size="100%">Rudolph, Christiane</style></author><author><style face="normal" font="default" size="100%">Louisa Labohm</style></author><author><style face="normal" font="default" size="100%">Katalinic, Alexander</style></author><author><style face="normal" font="default" size="100%">Rath, Natalie</style></author><author><style face="normal" font="default" size="100%">Rausch, Katharina</style></author><author><style face="normal" font="default" size="100%">Bernd Holleczek</style></author><author><style face="normal" font="default" size="100%">Heinz Handels</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Survival analysis for lung cancer patients: A comparison of Cox regression and machine learning models</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Medical Informatics</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Data science</style></keyword><keyword><style  face="normal" font="default" size="100%">Epidemiology</style></keyword><keyword><style  face="normal" font="default" size="100%">Explainable AI</style></keyword><keyword><style  face="normal" font="default" size="100%">Lung cancer</style></keyword><keyword><style  face="normal" font="default" size="100%">Survival analysis</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2024</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/pii/S1386505624002703</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">191</style></volume><pages><style face="normal" font="default" size="100%">105607</style></pages></record></records></xml>