@article{Souza_2026, title={A five-layer clinical-AI engineering framework for severity risk stratification from hematological signals: Ensemble learning, uncertainty quantification, and SHAP explainability with application to COVID-19}, volume={122}, ISSN={1746-8094}, url={http://dx.doi.org/10.1016/j.bspc.2026.110479}, DOI={10.1016/j.bspc.2026.110479}, journal={Biomedical Signal Processing and Control}, publisher={Elsevier BV}, author={Souza, Alex Fernandes de and Maciel, Natália Vilas Boas Pappi and Verri, Filipe Alves Neto and Balestrassi, Pedro Paulo}, year={2026}, month=Aug, pages={110479} }