24 citations · 49 across the 8 of their papers we have counts for
9 papers
Enhancing Lung Cancer Treatment Outcome Prediction through Semantic Feature Engineering Using Large Language Models
MunHwan Lee, Shaika Chowdhury, Xiaodi Li +7
Accurate prediction of treatment outcomes in lung cancer remains challenging due to the sparsity, heterogeneity, and contextual overload of real-world electronic health data. Tradi…
LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation
Xiaodi Li, Shaika Chowdhury, Chung Il Wi +8
Patient matching is the process of linking patients to appropriate clinical trials by accurately identifying and matching their medical records with trial eligibility criteria. We…
Evaluation of GPT-3 for Anti-Cancer Drug Sensitivity Prediction
Shaika Chowdhury, Sivaraman Rajaganapathy, Lichao Sun +2
In this study, we investigated the potential of GPT-3 for the anti-cancer drug sensitivity prediction task using structured pharmacogenomics data across five tissue types and evalu…
Ensemble Fine-tuned mBERT for Translation Quality Estimation
Shaika Chowdhury, Naouel Baili, Brian Vannah
Quality Estimation (QE) is an important component of the machine translation workflow as it assesses the quality of the translated output without consulting reference translations.…
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering
Ye Liu, Shaika Chowdhury, Chenwei Zhang +2
Healthcare question answering assistance aims to provide customer healthcare information, which widely appears in both Web and mobile Internet. The questions usually require the as…
Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu +1
Distributed representations of medical concepts have been used to support downstream clinical tasks recently. Electronic Health Records (EHR) capture different aspects of patients'…
Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu +1
Predicting patient mortality is an important and challenging problem in the healthcare domain, especially for intensive care unit (ICU) patients. Electronic health notes serve as a…
Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu +1
Distributed representations have been used to support downstream tasks in healthcare recently. Healthcare data (e.g., electronic health records) contain multiple modalities of data…
Multi-Task Pharmacovigilance Mining from Social Media Posts
Shaika Chowdhury, Chenwei Zhang, Philip S. Yu
Social media has grown to be a crucial information source for pharmacovigilance studies where an increasing number of people post adverse reactions to medical drugs that are previo…