A Unified Hybrid Model for Cardiovascular Risk Prediction: Merging Statistical, Kernel-Based and Neural Approaches.
- DOI
- 10.1111/jcmm.70797
- Published
- 2025 Aug
- Container
- Journal of cellular and molecular medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1111/jcmm.70797,
title = {A Unified Hybrid Model for Cardiovascular Risk Prediction: Merging Statistical, Kernel-Based and Neural Approaches.},
author = {Khan M and Mahajan RA and Sivakumar NR and Gulhane M and Rakesh N and Dey R and Uddin MS and Basheer S},
year = {2025},
journal = {Journal of cellular and molecular medicine},
doi = {10.1111/jcmm.70797},
url = {https://doi.org/10.1111/jcmm.70797}
}RIS
TY - JOUR TI - A Unified Hybrid Model for Cardiovascular Risk Prediction: Merging Statistical, Kernel-Based and Neural Approaches. AU - Khan M AU - Mahajan RA AU - Sivakumar NR AU - Gulhane M AU - Rakesh N AU - Dey R AU - Uddin MS AU - Basheer S PY - 2025 JO - Journal of cellular and molecular medicine DO - 10.1111/jcmm.70797 UR - https://doi.org/10.1111/jcmm.70797 ER -
APA
M, K., RA, M., NR, S., M, G., N, R., R, D., MS, U., & S, B. (2025). A Unified Hybrid Model for Cardiovascular Risk Prediction: Merging Statistical, Kernel-Based and Neural Approaches.. Journal of cellular and molecular medicine. https://doi.org/10.1111/jcmm.70797
Source records
- pubmed · retrieved 2026-09-25T07:15:51.894Z