Rasheed, Shagufta and Kumar, G Kiran and Rani, D Malathi and Kantipudi, M V V Prasad and M, Anila (2024) Heart Disease Prediction Using GridSearchCV and Random Forest. EAI Endorsed Transactions on Pervasive Health and Technology.
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Abstract
INTRODUCTION: This study explores machine learning algorithms (SVM, Adaboost, Logistic Regression, Naive Bayes, and Random Forest) for heart disease prediction, utilizing comprehensive cardiovascular and clinical data. Our research enables early detection, aiding timely interventions and preventive
| Item Type: | Article |
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| Date Deposited: | 04 Mar 2026 18:09 |
| Last Modified: | 16 Apr 2026 22:27 |
| URI: | http://eprints.eai.eu/id/eprint/51371 |
