Pertaining analysis of fracture risk in Osteoporotic patients using Machine Learning Techniques
- Title
- Pertaining analysis of fracture risk in Osteoporotic patients using Machine Learning Techniques
- Description
- Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications
- Creator
- Neeta T.R.; Poonia R.C.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174675097&doi=10.1109%2fInC457730.2023.10262867&partnerID=40&md5=1e84fb9f6ab8172d92d7fb6fe02ca25e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174675097&doi=10.1109%2fInC457730.2023.10262867&partnerID=40&md5=1e84fb9f6ab8172d92d7fb6fe02ca25e</a>
- Date
- 2023-01-01
Collection
Citation
Neeta T.R.; Poonia R.C., “Pertaining analysis of fracture risk in Osteoporotic patients using Machine Learning Techniques,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/10166.