6 papers
SAGE: Stability-Aware Graph-Based Ensemble Feature Selection for Explainable Postpartum Depression Risk Prediction
Md. Rokon Islam Emon, Syed Shariar Alam Shuvo, Shahriar Siddique Ayon +2
Postpartum depression (PPD) poses a major burden on maternal and child health, especially in low- and middle-income countries where prevalence exceeds 19%. Despite advancements in…
SDoH-Aware Narrative Anchoring Bias in Medical LLMs for Trustworthy Clinical Decision Support
Ahnaf Atef Choudhury, Ramkrishna Saha
Medical large language models are often judged by how many clinical questions they answer correctly. That view is useful, but it misses a practical risk. A model may know the right…
Ensemble Feature Selection and Harris Hawks Optimization for Explainable Mental Health Risk Prediction in Female Sex Workers
Ahnaf Atef Choudhury, Md. Parvej Hoque Palash, Shahriar Siddique Ayon +2
One of the significant mental health issues affecting female sex workers (FSWs) is mental disorders, especially depression. Exposure to violence, stigma, and economic hardship furt…
Explainable AI for Mental Health Prediction in Drug-Affected Populations with Dragonfly Algorithm and GAN Oversampling
Ahnaf Atef Choudhury, Shahriar Siddique Ayon, Md. Ebrahim Hossain +1
Mental illnesses among drug users are an increasing international issue, particularly in regions where early detection cannot be easily undertaken. The current literature tends to…
Towards Intelligent Legal Document Analysis: CNN-Driven Classification of Case Law Texts
Moinul Hossain, Sourav Rabi Das, Zikrul Shariar Ayon +4
Legal practitioners and judicial institutions face an ever-growing volume of case-law documents characterised by formalised language, lengthy sentence structures, and highly specia…
Hybrid Approach for Driver Behavior Analysis with Machine Learning, Feature Optimization, and Explainable AI
Mehedi Hasan Shuvo, Md. Raihan Tapader, Nur Mohammad Tamjid +3
Progressive driver behavior analytics is crucial for improving road safety and mitigating the issues caused by aggressive or inattentive driving. Previous studies have employed mac…