Assessing and Exploring Machine Learning Techniques for Cardiovascular Disease Prediction using Cleveland and Framingham Datasets
- Title
- Assessing and Exploring Machine Learning Techniques for Cardiovascular Disease Prediction using Cleveland and Framingham Datasets
- Description
- 2nd IEEE International Conference on Networks, Multimedia and Information Technology, NMITCON 2024
- Creator
- Roopini J.; Deepa B.G.; Pooja N.G.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207399477&doi=10.1109%2fNMITCON62075.2024.10698965&partnerID=40&md5=363d3b55f8ea97d83123807b929d03f9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207399477&doi=10.1109%2fNMITCON62075.2024.10698965&partnerID=40&md5=363d3b55f8ea97d83123807b929d03f9</a>
- Date
- 2024-01-01
Collection
Citation
Roopini J.; Deepa B.G.; Pooja N.G., “Assessing and Exploring Machine Learning Techniques for Cardiovascular Disease Prediction using Cleveland and Framingham Datasets,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/9444.