Effectively predicting the presence of coronary heart disease using machine learning classifiers

HIGHLIGHTS

  • who: Ch. Anwar ul Hassan and colleagues from the Department of Creative Technologies, Air University Islamabad, Islamabad, Pakistan Department of Computer Science, University of Jeddah, POBox, Jeddah, Saudi Arabia have published the article: Effectively Predicting the Presence of Coronary Heart Disease Using Machine Learning Classifiers, in the Journal: Sensors 2022, 7227 of /2022/
  • what: The aim of this research is to predict the probability of people getting heart illness.
  • how: The authors used eleven ML classifiers to identify key features which improved the predictability of heart disease. In this study supervised ML classifiers . . .

     

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