Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study.

Journal: BMC medical research methodology
Published Date: Oct 20, 2020

Abstract

BACKGROUND: Interest in models for calculating the risk of death in traumatic patients admitted to ICUs remains high. These models use variables derived from the deviation of physiological parameters and/or the severity of anatomical lesions with respect to the affected body areas. Our objective is to create different predictive models of the mortality of critically traumatic patients using machine learning techniques.

Authors

  • Luis Serviá
    Servei de Medicina Intensiva, Hospital Universitari Arnau de Vilanova, Universitat de Lleida, IRBLleida, Avda Rovira Roure 80, 25198, Lleida, Spain.
  • Neus Montserrat
    Servei de Medicina Intensiva, Hospital Universitari Arnau de Vilanova, Universitat de Lleida, IRBLleida, Avda Rovira Roure 80, 25198, Lleida, Spain.
  • Mariona Badia
    Servei de Medicina Intensiva, Hospital Universitari Arnau de Vilanova, Universitat de Lleida, IRBLleida, Avda Rovira Roure 80, 25198, Lleida, Spain.
  • Juan Antonio Llompart-Pou
    Servei de Medicina Intensiva, Hospital Universitari Son Espases, Institut de Investigació Sanitària Illes Balears, Palma de Mallorca, Spain.
  • Jesús Abelardo Barea-Mendoza
    UCI de Trauma y Emergencias, Servicio de Medicina Intensiva, Hospital Universitario 12 de Octubre, Madrid, Spain.
  • Mario Chico-Fernández
    UCI de Trauma y Emergencias, Servicio de Medicina Intensiva, Hospital Universitario 12 de Octubre, Madrid, Spain.
  • Marcelino Sánchez-Casado
    Servicio de Medicina Intensiva, Hospital Virgen de la Salud, Toledo, Spain.
  • José Manuel Jiménez
    Servicio de Medicina Intensiva, Hospital Universitario Puerta del Mar, Cádiz, Spain.
  • Dolores María Mayor
    Servicio de Medicina Intensiva, Complejo hospitalario de Torrecárdenas, Almería, Spain.
  • Javier Trujillano
    Servei de Medicina Intensiva, Hospital Universitari Arnau de Vilanova, Universitat de Lleida, IRBLleida, Avda Rovira Roure 80, 25198, Lleida, Spain. jtruji@cmb.udl.es.

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