Kassa-Sombo Arthur, Tchatat Wangueu Lionel, Grammatico-Guillon Leslie, Guillon Antoine
INSERM U1100, University of Tours, Tours, France.
Intensive Care Unit, Tours University Hospital, University of Tours, Tours, France.
Stud Health Technol Inform. 2025 May 15;327:217-218. doi: 10.3233/SHTI250306.
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.
关于将高龄患者收入重症监护病房（ICU）的益处的讨论仍然具有挑战性。我们假设数据驱动的算法可以利用广泛的现实生活数据来提供更准确的长期预测。我们的目标是评估机器学习（ML）算法在高龄患者入住ICU之前预测其一年生存率的能力。
