Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques.

Journal: Computational intelligence and neuroscience
Published Date:

Abstract

INTRODUCTION: Heart disease is emerging as the single most critical cause of death worldwide and is one of the costliest chronic conditions.

Authors

  • Syed Immamul Ansarullah
    Lecturer at the Department of Computer Science, Govt. Degree College Sumbal, J&K, India.
  • Syed Mohsin Saif
    Assistant Professor at the Department of Information Technology, IUST Awantipora, Kashmir, India.
  • Pradeep Kumar
    Wits Advanced Drug Delivery Platform Research Unit, Faculty of Health Sciences, School of Therapeutic Sciences, Department of Pharmacy and Pharmacology , University of the Witwatersrand, Johannesburg , 7 York Road , Parktown 2193 , South Africa.
  • Mudasir Manzoor Kirmani
    Assistant Professor at the Department of Fisheries, SKAUST, Kashmir, India.