5 papers
A Privacy-Preserving Framework Using Remote Data Science for Inter-Institutional Student Retention Prediction
John Fields, K M Sajjadul Islam, Ruchitha Thota +2
This study explores privacy-preserving machine learning (PPML) techniques using the PySyft platform to enable collaborative prediction of student retention between institutions. We…
Contextual Embedding-based Clustering to Identify Topics for Healthcare Service Improvement
K M Sajjadul Islam, Ravi Teja Karri, Srujan Vegesna +2
Understanding patient feedback is crucial for improving healthcare services, yet analyzing unlabeled short-text feedback presents challenges due to limited data and domain-specific…
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…
multiMentalRoBERTa: A Fine-tuned Multiclass Classifier for Mental Health Disorder
K M Sajjadul Islam, John Fields, Praveen Madiraju
The early detection of mental health disorders from social media text is critical for enabling timely support, risk assessment, and referral to appropriate resources. This work int…
LLM-based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs
K M Sajjadul Islam, Ayesha Siddika Nipu, Jiawei Wu +1
Electronic Health Records (EHRs) are digital records of patient information, often containing unstructured clinical text. Named Entity Recognition (NER) is essential in EHRs for ex…