Jain, Daksh and Yadav, Vardan and Kumari, Manavi and Chandravansi, Kundan and Reddy, Gurakonda and Cheltha, Jeba (2022) Cardiovascular Disease Predictor. In: Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India.
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Abstract
Heart disease is a very common disease that kills many people every year regardless of age. So, machine learning is used to predict if a person has cardiovascular disease. The classification models used here are KNN, Ridge Classifier, Decision Tree, Random Forest and GaussianNB. The dataset used is
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 15:20 |
| Last Modified: | 17 Apr 2026 06:12 |
| URI: | http://eprints.eai.eu/id/eprint/38782 |
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