Artificial intelligence forecasting mortality at an intensive care unit and comparison to a logistic regression system.

Journal: Einstein (Sao Paulo, Brazil)
Published Date:

Abstract

OBJECTIVE: To explore an artificial intelligence approach based on gradient-boosted decision trees for prediction of all-cause mortality at an intensive care unit, comparing its performance to a recent logistic regression system in the literature, and a logistic regression model built on the same platform.

Authors

  • Beatriz Nistal-Nuño
    Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain.