Abeed Sarker

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

A large language model–based generative natural language processing framework fine‐tuned on clinical notes accurately extracts headache frequency from electronic health records

Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study

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

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

Barriers to opioid use disorder treatment: A comparison of self-reported information from social media with barriers found in literature

Reddit discussions about buprenorphine associated precipitated withdrawal in the era of fentanyl

Deepluenza: Deep learning for influenza detection from Twitter

Methadone and suboxone ^® mentions on twitter: thematic and sentiment analysis

Mining long-COVID symptoms from Reddit: characterizing post-COVID syndrome from patient reports

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

Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020

Assessing perceptions about medications for opioid use disorder and Naloxone on Twitter

LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts

Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes

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

Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter

Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework