Leveraging Clinical Data for Early Heart Disease Prediction: A Machine Learning Approach With Interpretability Analysis.
- DOI
- 10.1177/11795972261446822
- Published
- 2026
- Container
- Biomedical engineering and computational biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1177/11795972261446822,
title = {Leveraging Clinical Data for Early Heart Disease Prediction: A Machine Learning Approach With Interpretability Analysis.},
author = {Qumsiyeh E and Al-Wirdian Q and Ersoz NS},
year = {2026},
journal = {Biomedical engineering and computational biology},
doi = {10.1177/11795972261446822},
url = {https://doi.org/10.1177/11795972261446822}
}RIS
TY - JOUR TI - Leveraging Clinical Data for Early Heart Disease Prediction: A Machine Learning Approach With Interpretability Analysis. AU - Qumsiyeh E AU - Al-Wirdian Q AU - Ersoz NS PY - 2026 JO - Biomedical engineering and computational biology DO - 10.1177/11795972261446822 UR - https://doi.org/10.1177/11795972261446822 ER -
APA
E, Q., Q, A., & NS, E. (2026). Leveraging Clinical Data for Early Heart Disease Prediction: A Machine Learning Approach With Interpretability Analysis.. Biomedical engineering and computational biology. https://doi.org/10.1177/11795972261446822
Source records
- pubmed · retrieved 2026-09-26T14:30:30.425Z