Predictive diagnostics for early identification of cardiovascular disease: a machine learning approach
Authors
Pooja Bagane
Department of Computer Science and Engineering, Symbiosis Institute of Technology – Pune Campus, Symbiosis International (Deemed University), Pune, India
Moksh Oswal
Department of Computer Science and Engineering, Symbiosis Institute of Technology – Pune Campus, Symbiosis International (Deemed University), Pune, India
Sachin Mhetre
Department of Computer Science and Engineering, Symbiosis Institute of Technology – Pune Campus, Symbiosis International (Deemed University), Pune, India
Prabhat Shankar
Department of Computer Science and Engineering, Symbiosis Institute of Technology – Pune Campus, Symbiosis International (Deemed University), Pune, India
Praneet Mahendrakar
Department of Computer Science and Engineering, Symbiosis Institute of Technology – Pune Campus, Symbiosis International (Deemed University), Pune, India
Obsa Amenu Jebessa
Department of Information Technology, Jimma Institute of Technology, Jimma, Ethiopia
DOI: https://doi.org/10.2478/ijssis-2025-0021 | Journal eISSN: 1178-5608
Language: English
Submitted on: Jan 12, 2025
Published on: May 16, 2025
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Related subjects:
© 2025 Pooja Bagane, Moksh Oswal, Sachin Mhetre, Prabhat Shankar, Praneet Mahendrakar, Obsa Amenu Jebessa, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.