Author

Muhammad Usman

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Open access Oct 2026

A Robust and Explainable Framework for Predicting Hospital Readmission in Patients with Diabetes

Background: Hospital readmission among patients with diabetes remains a healthcare challenge, contributing to adverse clinical outcomes, increased healthcare expenditures, and reduced quality of care. This study presents a leakage-resistant and clinically interpretable machine learning framework for predicting hospital...

Adil Ayaz Afridi, Muhammad Usman, Daniel J. Rubin et al. · Diabetology · 0 citations

Open access 2026

An Asynchronous Gradient Fusion Framework for Distributed Deep Learning in Tuberculosis Chest X-Ray Diagnosis

A Collaborative Gradient Fusion, a distributed deep learning framework designed to improve scalability and training stability in asynchronous environments, and introduces a version-aware aggregation strategy with bounded staleness control, along with adaptive batch-size tuning to reduce the impact of delayed gradients.

Ali Fida, Muhammad Usman · IEEE Access · 0 citations