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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
PREDICTIVE ANALYTICS FOR HEART DISEASE: LEVERAGING MACHINE LEARNING TO ENHANCE EARLY DIAGNOSIS AND RISK ASSESSMENT.
Authors
Jaya Prakash Seelam, Uday kiran porapu, Anusha Yellapragada, Boddeda Teja, P. Mounika
Keywords
Heart Disease Prediction, ML, Logit model, Random Forest, Voting Classifier, SMOTE, Feature Scaling, Ensemble Learning, Predictive Healthcare.
Abstract
This research searches the use of ML procedure to forecast Cardiovascular disease, one of the main factor of mortality globally. The study leverages a public dataset containing patient health indicators and employs advanced preprocessing techniques, including SMOTE for addressing class imbalance and feature scaling for normalization. Multiple ML models were trained and evaluated, including Logit model, KNN, RF, Naive Bayes, SVM, & a Voting Classifier. The Voting Classifier exhibit superior performance, emphasizing the potential of ensemble learning methods in predictive healthcare. The results highlight the efficacy of machine learning in providing accurate & scalable diagnostic tools for heart disease prediction.
IJCRT's Publication Details
Unique Identification Number - IJCRT2502397
Paper ID - 277250
Page Number(s) - d377-d379
Pubished in - Volume 13 | Issue 2 | February 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Jaya Prakash Seelam, Uday kiran porapu, Anusha Yellapragada, Boddeda Teja, P. Mounika, "PREDICTIVE ANALYTICS FOR HEART DISEASE: LEVERAGING MACHINE LEARNING TO ENHANCE EARLY DIAGNOSIS AND RISK ASSESSMENT.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 2, pp.d377-d379, February 2025, Available at :http://www.ijcrt.org/papers/IJCRT2502397.pdf
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Volume 14 | Issue 3
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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