5 papers
LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening
Muhammad Ashad Kabir, Sirajam Munira
Early screening of chronic kidney disease (CKD) is critical for timely intervention, yet most machine learning (ML) and deep learning (DL) approaches require labeled data and model…
Can Zero-Shot LLMs Predict Child Malnutrition? A Fairness and Temporal Robustness Study
Muhammad Ashad Kabir, Md Ahshanul Haque
Child malnutrition remains a major public health challenge in low- and middle-income countries, particularly in South Asia, where early identification of vulnerable children is cri…
From Many to Meaningful: Feature-Guided Zero-Shot Chronic Kidney Disease Screening Using Large Language Models
Muhammad Ashad Kabir, Sirajam Munira
Early screening of chronic kidney disease (CKD) is essential for preventing irreversible progression; however, many machine learning (ML)-based screening methods remain difficult t…
Zero-Shot Parkinson's Disease Detection from Speech: Comparing Large Audio and Language Models
Muhammad Ashad Kabir, Sirajam Munira
Large audio and language models have recently demonstrated zero-shot reasoning capabilities across various domains. However, it remains unclear how the form of audio input, whether…
COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions
Mahathir Mohammad Bishal, Md. Rakibul Hassan Chowdory, Anik Das +1
The COVID-19 pandemic has had adverse effects on both physical and mental health. During this pandemic, numerous studies have focused on gaining insights into health-related perspe…