4 papers
Faithful Summarization of Consumer Health Queries: A Cross-Lingual Framework with LLMs
Ajwad Abrar, Nafisa Tabassum Oeshy, Prianka Maheru +2
Summarizing consumer health questions (CHQs) can ease communication in healthcare, but unfaithful summaries that misrepresent medical details pose serious risks. We propose a frame…
Performance Evaluation of Large Language Models in Bangla Consumer Health Query Summarization
Ajwad Abrar, Farzana Tabassum, Sabbir Ahmed
Consumer Health Queries (CHQs) in Bengali (Bangla), a low-resource language, often contain extraneous details, complicating efficient medical responses. This study investigates the…
A Pan-cancer Classification Model using Multi-view Feature Selection Method and Ensemble Classifier
Tareque Mohmud Chowdhury, Farzana Tabassum, Sabrina Islam +1
Accurately identifying cancer samples is crucial for precise diagnosis and effective patient treatment. Traditional methods falter with high-dimensional and high feature-to-sample…
Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI
Farzana Tabassum, Sabrina Islam, Siana Rizwan +4
Gene expression analysis is a critical method for cancer classification, enabling precise diagnoses through the identification of unique molecular signatures associated with variou…