Heart Disease Prediction; a Machine Learning Approach


  • Vikash Kumar Sahu
  • Thaneshwar Sahu
  • Raman Gulab Brajesh CSVTU


Heart Disease, Machine Learning, Artificial intelligence, Machine learning Predictive analytics


Machine learning has been one of the most widely used tools in medical science. It has shown promising application in disease detection as well as in disease prediction. In this paper we focus on the artificial intelligence-based heart disease prediction system using machine learning algorithms. We discuss various algorithms that have been employed by researchers in healthcare sector and chalk out the comparative analysis among these various algorithms. Traditional clinical diagnosis methods have their own limitations, with the help of our study we would be focusing on accuracy and ability to detect the heart disease at early stage. We have discussed some most recent works in heart disease prediction and done a comparative analysis on the accuracy and fusibility of these methods.


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How to Cite

Vikash Kumar Sahu, Thaneshwar Sahu, & Brajesh, R. G. (2023). Heart Disease Prediction; a Machine Learning Approach . CSVTU International Journal of Biotechnology, Bioinformatics and Biomedical, 7(03), 34–40. Retrieved from https://csvtujournal.in/index.php/ijbbb/article/view/202



Review Article