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: International Journal on Smart Sensing and Intelligent Systems
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
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© 2025 Pooja Bagane, Moksh Oswal, Sachin Mhetre, Prabhat Shankar, Praneet Mahendrakar, Obsa Amenu Jebessa, published by International Journal on Smart Sensing and Intelligent Systems
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.