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Heart Disease Detection and Classification Using Machine Learning

  • Unique Paper ID: 163844
  • Volume: 10
  • Issue: 11
  • PageNo: 2513-2518
  • Abstract:
  • Cardiovascular diseases (CVDs) pose a substantial health burden in India, especially in regions with inadequate medical resources. This study aims to identify predictive parameters for CVD detection, specifically focusing on factors accessible in low-resource settings. We present a GUI-based heart disease prediction model utilizing the Random Forest algorithm, offering a user-friendly solution for early detection of CVDs in underserved communities. Through machine learning techniques, our model facilitates efficient risk assessment, contributing to improved healthcare outcomes in areas with limited access to medical facilities.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 11
  • PageNo: 2513-2518

Heart Disease Detection and Classification Using Machine Learning

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