3 citations · 4 across the 4 of their papers we have counts for
6 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…
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…
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…
How Reliable AI Chatbots are for Disease Prediction from Patient Complaints?
Ayesha Siddika Nipu, K M Sajjadul Islam, Praveen Madiraju
Artificial Intelligence (AI) chatbots leveraging Large Language Models (LLMs) are gaining traction in healthcare for their potential to automate patient interactions and aid clinic…
Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models
K M Sajjadul Islam, Ayesha Siddika Nipu, Praveen Madiraju +1
The Chief Complaint (CC) is a crucial component of a patient's medical record as it describes the main reason or concern for seeking medical care. It provides critical information…