Paper Title :Heart Disease Prediction Using Machine Learning
Author :Yashikatomar, Bharti, Priyansh Gupta
Article Citation :Yashikatomar ,Bharti ,Priyansh Gupta ,
(2024 ) " Heart Disease Prediction Using Machine Learning " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 8-16,
Volume-12,Issue-7
Abstract : Heart disease stands as a formidable global threat to human health, persisting as a leading cause of mortality. Our
study presents a machine learning-based predictive model for heart disease utilizing a diverse dataset of demographic,
clinical, and lifestyle factors. Through the application of various algorithms, including logistic regression, random forest, and
decision trees, we accurately predict the likelihood of heart disease occurrence. Comparative analysis highlights the strengths
and limitations of different algorithms. The developed models offer valuable insights for early diagnosis and personalized
intervention strategies. This research contributes to the advancement of predictive analytics in healthcare, paving the way for
more effective and targeted disease management approaches.
Keywords - Heart Disease, Machine Learning Algorithms, Logistic Regression, Decision Trees
Type : Research paper
Published : Volume-12,Issue-7
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-21092
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Copyright: © Institute of Research and Journals
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Published on 2024-10-17 |
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