2 citations · 3 across the 4 of their papers we have counts for
4 papers
Community-Based Early-Stage Chronic Kidney Disease Screening using Explainable Machine Learning for Low-Resource Settings
Muhammad Ashad Kabir, Sirajam Munira, Dewan Tasnia Azad +3
Early detection of chronic kidney disease (CKD) is essential for preventing progression to end-stage renal disease. However, existing screening tools - primarily developed using po…
LLaMA-XR: A Novel Framework for Radiology Report Generation using LLaMA and QLoRA Fine Tuning
Md. Zihad Bin Jahangir, Muhammad Ashad Kabir, Sumaiya Akter +2
Automated radiology report generation holds significant potential to reduce radiologists' workload and enhance diagnostic accuracy. However, generating precise and clinically meani…
BenSParX: A Robust Explainable Machine Learning Framework for Parkinson's Disease Detection from Bengali Conversational Speech
Riad Hossain, Muhammad Ashad Kabir, Arat Ibne Golam Mowla +2
Early detection of PD remains particularly challenging in resource-constrained settings, where voice-based analysis has emerged as a promising non-invasive and cost-effective alter…
Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data
Sheikh Mohammed Shariful Islam, Moloud Abrar, Teketo Tegegne +10
Machine learning models have the potential to identify cardiovascular diseases (CVDs) early and accurately in primary healthcare settings, which is crucial for delivering timely tr…