Predicting 1-Year Survival Using Machine Learning in Very Old Patients Before ICU Admission.

Journal: Studies in health technology and informatics
Published Date:

Abstract

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.

Authors

  • Arthur Kassa-Sombo
    INSERM U1100, University of Tours, Tours, France.
  • Lionel Tchatat Wangueu
    Intensive Care Unit, Tours University Hospital, University of Tours, Tours, France.
  • Leslie Grammatico-Guillon
    Department of medical information, University Hospital of Tours, Tours, France.
  • Antoine Guillon
    Intensive Care Unit, Tours University Hospital, University of Tours, Tours, France.