Explainable multimodal data fusion framework for heart failure detection: Integrating CNN and XGBoost
- DOI
- 10.1016/j.bspc.2024.106997
- Published
- 2025-02
- Container
- Biomedical Signal Processing and Control
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.bspc.2024.106997,
title = {Explainable multimodal data fusion framework for heart failure detection: Integrating CNN and XGBoost},
author = {Jad Botros and Farah Mourad-Chehade and David Laplanche},
year = {2025},
journal = {Biomedical Signal Processing and Control},
doi = {10.1016/j.bspc.2024.106997},
url = {https://doi.org/10.1016/j.bspc.2024.106997}
}RIS
TY - JOUR TI - Explainable multimodal data fusion framework for heart failure detection: Integrating CNN and XGBoost AU - Jad Botros AU - Farah Mourad-Chehade AU - David Laplanche PY - 2025 JO - Biomedical Signal Processing and Control DO - 10.1016/j.bspc.2024.106997 UR - https://doi.org/10.1016/j.bspc.2024.106997 ER -
APA
Botros, J., Mourad-Chehade, F., & Laplanche, D. (2025). Explainable multimodal data fusion framework for heart failure detection: Integrating CNN and XGBoost. Biomedical Signal Processing and Control. https://doi.org/10.1016/j.bspc.2024.106997
Source records
- crossref · retrieved 2026-09-25T10:46:11.990Z