2 papers
cs.AI2026
Bridging the Trust Gap: Clinician-Validated Hybrid Explainable AI for Maternal Health Risk Assessment in Bangladesh
Farjana Yesmin, Nusrat Shirmin, Suraiya Shabnam Bristy
While machine learning shows promise for maternal health risk prediction, clinical adoption in resource-constrained settings faces a critical barrier: lack of explainability and tr…
cs.LG2025
A Fuzzy Logic-Based Framework for Explainable Machine Learning in Big Data Analytics
Farjana Yesmin, Nusrat Shirmin
The growing complexity of machine learning (ML) models in big data analytics, especially in domains such as environmental monitoring, highlights the critical need for interpretabil…