Cardiovascular disease diagnosis: a holistic approach using the integration of machine learning and deep learning models.

Journal: European journal of medical research
Published Date: Sep 11, 2024

Abstract

BACKGROUND: The incidence and mortality rates of cardiovascular disease worldwide are a major concern in the healthcare industry. Precise prediction of cardiovascular disease is essential, and the use of machine learning and deep learning can aid in decision-making and enhance predictive abilities.

Authors

  • Hossein Sadr
    Department of Computer Engineering, Rahbord Shomal Institute of Higher Education, Rasht, Iran.
  • Arsalan Salari
    Cardiovascular Disease Research Center, Department of Cardiology, School of Medicine, Heshmat Hospital, Guilan University of Medical Sciences, Rasht, Iran.
  • Mohammad Taghi Ashoobi
    Department of Surgery, School of Medicine, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran.
  • Mojdeh Nazari
    Cardiovascular Disease Research Center, Department of Cardiology, School of Medicine, Heshmat Hospital, Guilan University of Medical Sciences, Rasht, Iran. mojdeh.nazari@sbmu.ac.ir.

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