K. M. Sajjadul Islam

According to our database, K. M. Sajjadul Islam authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LLM-Based Prompt Ensemble for Reliable Medical Entity Recognition from EHRs.

K. M. Sajjadul Islam, Ayesha Siddika Nipu, Jiawei Wu, Praveen Madiraju

Proceedings of the 25th IEEE International Conference on Information Reuse and Integration and Data Science, 2025

Contextual Embedding-based Clustering to Identify Topics for Healthcare Service Improvement.

K. M. Sajjadul Islam, Ravi Teja Karri, Srujan Vegesna, Jiawei Wu, Praveen Madiraju

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Prediction of Long COVID and Mortality Among Patients With Substance use Disorder.

Jiawei Wu, K. M. Sajjadul Islam, Praveen Madiraju

Proceedings of the IEEE International Conference on Big Data, 2025

MultiMentalRoBERTa: A Fine-Tuned Multiclass Classifier for Mental Health Disorder.

K. M. Sajjadul Islam, John Fields, Praveen Madiraju

Proceedings of the IEEE International Conference on Big Data, 2025

2024

How Reliable AI Chatbots are for Disease Prediction from Patient Complaints?

Ayesha Siddika Nipu, K. M. Sajjadul Islam, Praveen Madiraju

CoRR, 2024

LLM-Based Text Prediction and Question Answer Models for Aphasia Speech.

Shamiha Binta Manir, K. M. Sajjadul Islam, Praveen Madiraju, Priya Deshpande

IEEE Access, 2024

2023

Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models.

K. M. Sajjadul Islam, Ayesha Siddika Nipu, Praveen Madiraju, Priya Deshpande

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Oversampling techniques for predicting COVID-19 patient length of stay.

Zachariah Farahany, Jiawei Wu, K. M. Sajjadul Islam, Praveen Madiraju

Proceedings of the IEEE International Conference on Big Data, 2022