Machine learning to predict cardiovascular risk.

Journal: International journal of clinical practice
Published Date: Aug 4, 2019

Abstract

AIMS: To analyse the predictive capacity of 15 machine learning methods for estimating cardiovascular risk in a cohort and to compare them with other risk scales.

Authors

  • Jose A Quesada
    Clinical Medicine Department, Miguel Hernandez University, San Juan de Alicante, Spain.
  • Adriana Lopez-Pineda
    Clinical Medicine Department, Miguel Hernandez University, San Juan de Alicante, Spain.
  • Vicente F Gil-Guillén
    Clinical Medicine Department, Miguel Hernandez University, San Juan de Alicante, Spain.
  • Ramón Durazo-Arvizu
    Public Health Department, Stritch School of Medicine, Universidad Loyola Chicago, Maywood, IL, USA.
  • Domingo Orozco-Beltrán
    Clinical Medicine Department, Miguel Hernandez University, San Juan de Alicante, Spain.
  • Angela López-Domenech
    Clinical Medicine Department, Miguel Hernandez University, San Juan de Alicante, Spain.
  • Concepción Carratalá-Munuera
    Clinical Medicine Department, Miguel Hernandez University, San Juan de Alicante, Spain.

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