Coronary heart disease diagnosis by artificial neural networks including aortic pulse wave velocity index and clinical parameters.

Journal: Journal of hypertension
Published Date: Aug 1, 2019

Abstract

BACKGROUND: Cardiovascular disease, such as coronary heart disease (CHD), are the main cause of mortality and morbidity worldwide. CHD is not entirely predicted by classic risk factors; however, they are preventable. Facing this major problem, the development of novel methods for CHD risk prediction is of practical interest. The purpose of our study was to construct an artificial neural networks (ANNs)-based diagnostic model for CHD risk using a complex of clinical and haemodynamics factors of this disease and aortic pulse wave velocity (PWV) index.

Authors

  • Alexandre Vallée
    Paris-Descartes University.
  • Alexandre Cinaud
    Paris-Descartes University.
  • Vincent Blachier
    Paris-Descartes University.
  • Hélène Lelong
    Paris-Descartes University.
  • Michel E Safar
    Paris Descartes University, AP-HP, Diagnosis and Therapeutic Center, Hôtel-Dieu, Paris, France.
  • Jacques Blacher
    Paris Descartes University, AP-HP, Diagnosis and Therapeutic Center, Hôtel-Dieu, Paris, France.

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