Prediction of the Fatal Acute Complications of Myocardial Infarction via Machine Learning Algorithms.

Journal: The journal of Tehran Heart Center
Published Date: Oct 1, 2023

Abstract

BACKGROUND: Myocardial infarction (MI) is a major cause of death, particularly during the first year. The avoidance of potentially fatal outcomes requires expeditious preventative steps. Machine learning (ML) is a subfield of artificial intelligence science that detects the underlying patterns of available big data for modeling them. This study aimed to establish an ML model with numerous features to predict the fatal complications of MI during the first 72 hours of hospital admission.

Authors

  • Reza Ghafari
    Pharmacy Faculty, Urmia University of Medical Sciences, Urmia, Iran.
  • Amir Sorayaie Azar
    Department of Computer Engineering, Urmia University, Urmia, Iran.
  • Ali Ghafari
    Medical Physics and Biomedical Engineering Department, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Fatemeh Moradabadi Aghdam
    Pharmacy Faculty, Urmia University of Medical Sciences, Urmia, Iran.
  • Morteza Valizadeh
    Faculty of Electrical and Computer Engineering, Urmia University, Urmia, Iran.
  • Naser Khalili
    Department of Cardiology, School of Medicine, Urmia University of Medical Sciences, Urmia, Iran.
  • Shima Hatamkhani
    Experimental and Applied Pharmaceutical Sciences Research Center, Urmia University of Medical Sciences, Urmia, Iran.

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