An AI-driven clinical decision support system for coronary artery disease prediction in T2DM patients using clinical laboratory parameters and deep fusion learning.
- DOI
- 10.1016/j.cca.2026.121292
- Published
- 2026 Aug 28
- Container
- Clinica chimica acta; international journal of clinical chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cca.2026.121292,
title = {An AI-driven clinical decision support system for coronary artery disease prediction in T2DM patients using clinical laboratory parameters and deep fusion learning.},
author = {Zahedi M and Dabla PK and Das S and Kandar S},
year = {2026},
journal = {Clinica chimica acta; international journal of clinical chemistry},
doi = {10.1016/j.cca.2026.121292},
url = {https://doi.org/10.1016/j.cca.2026.121292}
}RIS
TY - JOUR TI - An AI-driven clinical decision support system for coronary artery disease prediction in T2DM patients using clinical laboratory parameters and deep fusion learning. AU - Zahedi M AU - Dabla PK AU - Das S AU - Kandar S PY - 2026 JO - Clinica chimica acta; international journal of clinical chemistry DO - 10.1016/j.cca.2026.121292 UR - https://doi.org/10.1016/j.cca.2026.121292 ER -
APA
M, Z., PK, D., S, D., & S, K. (2026). An AI-driven clinical decision support system for coronary artery disease prediction in T2DM patients using clinical laboratory parameters and deep fusion learning.. Clinica chimica acta; international journal of clinical chemistry. https://doi.org/10.1016/j.cca.2026.121292
Source records
- pubmed · retrieved 2026-09-25T19:09:56.628Z