Predicting 1-Year Survival Using Machine Learning in Very Old Patients Before ICU Admission
Arthur Kassa-Sombo, Lionel Tchatat Wangueu, Leslie Grammatico‐Guillon, Antoine Guillon · Studies in health technology and informatics · 2025
Discussions about the benefits of admitting very old individuals to intensive care unit (ICU) remain challenging. We hypothesized that data-driven algorithms could leverage extensive real-life data to provide more accurate long-term predictions. Our objective was to evaluate the ability of machine learning (ML) algorithms to predict the one-year survival rate of very old patients prior to their admission to an ICU.