Machine learning prediction of human blood optical properties: a comparative study of optimized algorithms with SHAP-based interpretability analysis.
- DOI
- 10.1080/10255842.2026.2723068
- Published
- 2026 Aug 27
- Container
- Computer methods in biomechanics and biomedical engineering
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/10255842.2026.2723068,
title = {Machine learning prediction of human blood optical properties: a comparative study of optimized algorithms with SHAP-based interpretability analysis.},
author = {Omari F and Madani A and Kouider Amar M and Hentabli M and Tared S and Khaouane L and Laidi M and Benkortebi O and Zhang J},
year = {2026},
journal = {Computer methods in biomechanics and biomedical engineering},
doi = {10.1080/10255842.2026.2723068},
url = {https://doi.org/10.1080/10255842.2026.2723068}
}RIS
TY - JOUR TI - Machine learning prediction of human blood optical properties: a comparative study of optimized algorithms with SHAP-based interpretability analysis. AU - Omari F AU - Madani A AU - Kouider Amar M AU - Hentabli M AU - Tared S AU - Khaouane L AU - Laidi M AU - Benkortebi O AU - Zhang J PY - 2026 JO - Computer methods in biomechanics and biomedical engineering DO - 10.1080/10255842.2026.2723068 UR - https://doi.org/10.1080/10255842.2026.2723068 ER -
APA
F, O., A, M., M, K. A., M, H., S, T., L, K., M, L., O, B., & J, Z. (2026). Machine learning prediction of human blood optical properties: a comparative study of optimized algorithms with SHAP-based interpretability analysis.. Computer methods in biomechanics and biomedical engineering. https://doi.org/10.1080/10255842.2026.2723068
Source records
- pubmed · retrieved 2026-09-26T00:46:26.636Z