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HEART DISEASE PREDICTION USING WARM AND NB ALGORITHM

  • Unique Paper ID: 174981
  • Volume: 11
  • Issue: 11
  • PageNo: 2069-2074
  • Abstract:
  • This study offers a thorough method of predicting cardiac illness using the Warm and Naive Bayes (NB) machine learning algorithms. The work tackles data preprocessing issues like missing values and outliers by utilizing a broad dataset that includes vital health characteristics including age, gender, blood pressure, and cholesterol levels. This revised dataset is used to train the models, and standard metrics are used to thoroughly assess the models' predicted performance. A thorough analysis of the Warm and Naive Bayes (NB) models is included in the research to highlight their advantages and disadvantages in the context of heart disease prediction.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 2069-2074

HEART DISEASE PREDICTION USING WARM AND NB ALGORITHM

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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