Bibhas Chakraborty

Federated and distributed learning applications for electronic health records and structured medical data: a scoping review

2023 · 33 Zit. · Journal of the American Medical Informatics Association

A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study

2022 · 29 Zit. · PLOS Digital Health

FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare

2024 · 14 Zit. · Patterns

Artificial Intelligence-Based Decision Support Systems for Precision and Digital Health

2025 · 4 Zit.

A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study

2022 · 0 Zit. · arXiv (Cornell University)

FAIR-EC: A Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care (Preprint)

2025 · 0 Zit.