Machine Learning Based Heart Disease Prediction Using Random…
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- DOI 10.55041/ijsrem31320
- OpenAlex ID W4394984040
- Type Article
- Language EN
- Published 21 Apr 2024
- Volume 08 (04)
- Pages 1–5
- Source INTERANTIONAL JOURNAL OF SCIENTIFIC RESE…
- FWCI 0.30
- Added 21 Apr 2024
- Updated 06 Sep 2026
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Machine Learning Based Heart Disease Prediction Using Random Forest
Article 2024 EN Bronze
A recent study by the World Health Organization sheds light on the alarming increase in cardiovascular diseases, contributing to approximately 17.9 million deaths annually. This study delves into the effectiveness of employing the Random Forest algorithm, a robust machine learning approach, to forecast the likelihood of heart disease based on diverse risk factors. By leveraging a dataset encompass…
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UN Sustainable Development Goals
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1 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Swarna S Corresponding | — | — |
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