Application of a machine learning model for early prediction of in-hospital cardiac arrests: Retrospective observational cohort study.

Journal: Medicina intensiva
Published Date:

Abstract

OBJECTIVE: To describe the results of the application of a Machine Learning (ML) model to predict in-hospital cardiac arrests (ICA) 24 hours in advance in the hospital wards.

Authors

  • L Socias Crespí
    Intensive Care Department, Son Llàtzer University Hospital, Crta. Manacor Km 4, 07198, Palma, Spain; Department of Medicine, Faculty of Medicine, University of the Balearic Islands, Crta. Valldemossa Km. 7.5, Palma, Spain; Group of Critic Patient, Health Research Institute of the Balearic Islands (IdISBa), 07198, Palma, Spain. Electronic address: lsocias@hsll.es.
  • L Gutiérrez Madroñal
    Intensive Care Department, Son Llàtzer University Hospital, Crta. Manacor Km 4, 07198, Palma, Spain; Department of Medicine, Faculty of Medicine, University of the Balearic Islands, Crta. Valldemossa Km. 7.5, Palma, Spain; Research Unit, Son Llàtzer University Hospital, Crta. Manacor Km 4, 07198, Palma, Spain.
  • M Fiorella Sarubbo
    Research Unit, Son Llàtzer University Hospital, Crta. Manacor Km 4, 07198, Palma, Spain; Department of Biology, Faculty of Science, University of the Balearic Islands, Crta. Valldemossa Km. 7.5, Palma, Spain.
  • M Borges-Sa
    Intensive Care Department, Son Llàtzer University Hospital, Crta. Manacor Km 4, 07198, Palma, Spain; Department of Medicine, Faculty of Medicine, University of the Balearic Islands, Crta. Valldemossa Km. 7.5, Palma, Spain.
  • A Serrano García
    Knowledge Engineering Institute, Universidad Autónoma de Madrid, Madrid, Spain.
  • D López Ramos
    Knowledge Engineering Institute, Universidad Autónoma de Madrid, Madrid, Spain.
  • C Pruenza Garcia-Hinojosa
    Knowledge Engineering Institute, Universidad Autónoma de Madrid, Madrid, Spain.
  • E Martin Garijo
    Knowledge Engineering Institute, Universidad Autónoma de Madrid, Madrid, Spain.