Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation.

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: The COVID-19 pandemic is probably the greatest health catastrophe of the modern era. Spain's health care system has been exposed to uncontrollable numbers of patients over a short period, causing the system to collapse. Given that diagnosis is not immediate, and there is no effective treatment for COVID-19, other tools have had to be developed to identify patients at the risk of severe disease complications and thus optimize material and human resources in health care. There are no tools to identify patients who have a worse prognosis than others.

Authors

  • Juan L Domínguez-Olmedo
    Higher Technical School of Engineering, University of Huelva, Huelva, Spain.
  • Álvaro Gragera-Martínez
    Juan Ramón Jiménez University Hospital, Huelva, Spain.
  • Jacinto Mata
    Higher Technical School of Engineering, University of Huelva, Huelva, Spain.
  • Victoria Pachón Álvarez
    Higher Technical School of Engineering, University of Huelva, Huelva, Spain.