Abeed Sarker

Few-shot learning for medical text: A review of advances, trends, and opportunities

2023 · 90 Zit. · Journal of Biomedical Informatics

Defining Patient-Oriented Natural Language Processing: A New Paradigm for Research and Development to Facilitate Adoption and Use by Medical Experts

2021 · 12 Zit. · JMIR Medical Informatics

Natural Language Processing for Digital Health in the Era of Large Language Models

2024 · 9 Zit. · Yearbook of Medical Informatics

Few-shot learning for medical text: A systematic review

2022 · 6 Zit. · arXiv (Cornell University)

A Supervised Text Classification System Detects Fontan Patients in Electronic Records with Higher Accuracy than ICD Codes

2023 · 1 Zit.

Agentic AI in Healthcare: A Comprehensive Survey of Foundations, Taxonomy, and Applications

2025 · 1 Zit.

Bridging AI, NLP, and Digital Health: A Bi-Directional Learning Experience at Emory University

2025 · 0 Zit. · Studies in health technology and informatics

HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models

2025 · 0 Zit. · ArXiv.org

Application of Natural Language Processing for Chronic Pain Research: A Scoping Review (Preprint)

2025 · 0 Zit.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models

2025 · 0 Zit. · ArXiv.org

Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks

2025 · 0 Zit. · ArXiv.org

EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction

2024 · 0 Zit.