@InProceedings{10.1007/978-3-032-30710-1_4,
author="Lisowska, Aneta
and den Hengst, Floris
and Shah, Syed Ihtesham Hussain
and ten Teije, Annette
and Bohoudi, Omar
and Vissers, Pauline
and Ali, Mahsoem
and Leeuwenburgh, Laura
and Stommel, Martijn
and Lamor{\'e}, Amber
and Verpalen, Inez
and Homs, Marjolein
and Koerkamp, Bas Groot
and De Vos-Geelen, Judith
and Mieog, Sven
and Van Hooft, Jeanin E.
and Daamen, Lois
and De Meijer, Vincent E.
and Wilmink, Hanneke
and van Laarhoven, Hanneke
and Besselink, Marc
and Kazemier, Geert",
editor="Andreev, Pavel
and Van Woensel, William
and Holmes, John
and Saur{\'e}, Antoine",
title="Addressing Incomplete Data in Survival and Quality of Life Prediction: A Pancreatic Cancer Case Study",
booktitle="Artificial Intelligence in Medicine",
year="2027",
publisher="Springer Nature Switzerland",
address="Cham",
pages="28--37",
abstract="Models that predict the survival and quality of life (QoL) in patients with malignancies can support prognostic counselling and patient-centered evaluation of disease trajectories.",
isbn="978-3-032-30710-1"
}