Abeed Sarker

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 39

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

Headache

Journal of the American Medical Informatics Association : JAMIA

Journal of medical Internet research

Emory University

Macquarie University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Emory University

United States

Assistant Professor :: Biomedical Informatics

University of Pennsylvania Perelman School of Medicine

United States

Research Scientist :: Biostatistics, Epidemiology and Informatics

Arizona State University

United States

Postdoctoral Research Scholar :: Biomedical Informatics

Hugo AI

Australia

NLP Lead

CSIRO Computational Informatics

Australia

PhD Student Researcher :: Computational Informatics

Macquarie University

Australia

Sessional Academic :: Computing

Education History

Macquarie University Apr 20 2010

Australia

PHD :: Computing

Macquarie University

Australia

BSC :: Computing

Publications

Chia-Chun Chiang, Man Luo, Gina M Dumkrieger, Shubham Trivedi, Yi-Chieh Chen, Chieh-Ju Chao, Todd J Schwedt, Abeed Sarker, Imon Banerjee
A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records. Headache 64 (4) (2024)
Chia-Chun Chiang, Man Luo, Gina M Dumkrieger, Shubham Trivedi, Yi-Chieh Chen, Chieh-Ju Chao, Todd J Schwedt, Abeed Sarker, Imon Banerjee
A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records. Headache 64 (4) (2024)
Sudeshna Das, Andrew L Walker, Swati Rajwal, Sahithi Lakamana, Steven A Sumner, Karin A Mack, Wojciech Kaczkowski, Abeed Sarker
Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: Observational Study Using Natural Language Processing Analysis. JMIR mental health 11 (2024)
Sudeshna Das, Andrew L Walker, Swati Rajwal, Sahithi Lakamana, Steven A Sumner, Karin A Mack, Wojciech Kaczkowski, Abeed Sarker
Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: Observational Study Using Natural Language Processing Analysis. JMIR mental health 11 (2024)
Yuting Guo, Anthony Ovadje, Mohammed Ali Al-Garadi, Abeed Sarker
Evaluating large language models for health-related text classification tasks with public social media data. Journal of the American Medical Informatics Association : JAMIA (2024)
Chia-Chun Chiang, Man Luo, Gina M Dumkrieger, Shubham Trivedi, Yi-Chieh Chen, Chieh-Ju Chao, Todd J Schwedt, Abeed Sarker, Imon Banerjee
A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records. Headache 64 (4) (2024)
Chia-Chun Chiang, Man Luo, Gina M Dumkrieger, Shubham Trivedi, Yi-Chieh Chen, Chieh-Ju Chao, Todd J Schwedt, Abeed Sarker, Imon Banerjee
A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records. Headache (2024)
Chia-Chun Chiang, Man Luo, Gina M Dumkrieger, Shubham Trivedi, Yi-Chieh Chen, Chieh-Ju Chao, Todd J Schwedt, Abeed Sarker, Imon Banerjee
A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records. Headache (2024)
Sudeshna Das, Andrew L Walker, Swati Rajwal, Sahithi Lakamana, Steven A Sumner, Karin A Mack, Wojciech Kaczkowski, Abeed Sarker
Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: Observational Study Using Natural Language Processing Analysis. JMIR mental health 11 (2024)
Ari Z Klein, Juan M Banda, Yuting Guo, Ana Lucia Schmidt, Dongfang Xu, Ivan Flores Amaro, Raul Rodriguez-Esteban, Abeed Sarker, Graciela Gonzalez-Hernandez
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium. Journal of the American Medical Informatics Association : JAMIA 31 (4) (2024)
Ari Z Klein, Juan M Banda, Yuting Guo, Ana Lucia Schmidt, Dongfang Xu, Ivan Flores Amaro, Raul Rodriguez-Esteban, Abeed Sarker, Graciela Gonzalez-Hernandez
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium. Journal of the American Medical Informatics Association : JAMIA 31 (4) (2024)
Sudeshna Das, Andrew L Walker, Swati Rajwal, Sahithi Lakamana, Steven A Sumner, Karin A Mack, Wojciech Kaczkowski, Abeed Sarker
Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: Observational Study Using Natural Language Processing Analysis. JMIR mental health 11 (2024)
Ari Z Klein, Juan M Banda, Yuting Guo, Ana Lucia Schmidt, Dongfang Xu, Ivan Flores Amaro, Raul Rodriguez-Esteban, Abeed Sarker, Graciela Gonzalez-Hernandez
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium. Journal of the American Medical Informatics Association : JAMIA 31 (4) (2024)
Chia-Chun Chiang, Man Luo, Gina M Dumkrieger, Shubham Trivedi, Yi-Chieh Chen, Chieh-Ju Chao, Todd J Schwedt, Abeed Sarker, Imon Banerjee
A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records. Headache 64 (4) (2024)
Abeed Sarker, Sahithi Lakamana, Ruqi Liao, Aamir Abbas, Yuan-Chi Yang, Mohammed Ali Al-Garadi
The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection. JMIR infodemiology 3 (2023)
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S Love, Hannah L F Cooper, Jeanmarie Perrone, Abeed Sarker
Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter? Proceedings of the National Academy of Sciences of the United States of America 120 (8) (2023)
Abeed Sarker, Sahithi Lakamana, Ruqi Liao, Aamir Abbas, Yuan-Chi Yang, Mohammed Ali Al-Garadi
The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection. JMIR infodemiology 3 (2023)
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S Love, Hannah L F Cooper, Jeanmarie Perrone, Abeed Sarker
Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter? Proceedings of the National Academy of Sciences of the United States of America 120 (8) (2023)
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S Love, Hannah L F Cooper, Jeanmarie Perrone, Abeed Sarker
Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter? Proceedings of the National Academy of Sciences of the United States of America 120 (8) (2023)
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S Love, Hannah L F Cooper, Jeanmarie Perrone, Abeed Sarker
Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter? Proceedings of the National Academy of Sciences of the United States of America 120 (8) (2023)
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S Love, Hannah L F Cooper, Jeanmarie Perrone, Abeed Sarker
Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter? Proceedings of the National Academy of Sciences of the United States of America 120 (8) (2023)
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S Love, Hannah L F Cooper, Jeanmarie Perrone, Abeed Sarker
Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter? Proceedings of the National Academy of Sciences of the United States of America 120 (8) (2023)
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S Love, Hannah L F Cooper, Jeanmarie Perrone, Abeed Sarker
Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter? Proceedings of the National Academy of Sciences of the United States of America 120 (8) (2023)
Rachel S Wightman, Jeanmarie Perrone, Alexandra B Collins, Sahithi Lakamana, Abeed Sarker
An analysis of cannabinoid hyperemesis syndrome Reddit posts and themes. Clinical toxicology (Philadelphia, Pa.) (2023)
Abeed Sarker, Sahithi Lakamana, Ruqi Liao, Aamir Abbas, Yuan-Chi Yang, Mohammed Ali Al-Garadi
The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection. JMIR infodemiology 3 (2023)
Yuting Guo, Mohammed A Al-Garadi, Wendy M Book, Lindsey C Ivey, Fred Henry Rodriguez, Cheryl L Raskind-Hood, Chad Robichaux, Abeed Sarker
Supervised Text Classification System Detects Fontan Patients in Electronic Records With Higher Accuracy Than ICD Codes. Journal of the American Heart Association (2023)
Anthony Spadaro, Karen O'Connor, Sahithi Lakamana, Abeed Sarker, Rachel Wightman, Jennifer S Love, Jeanmarie Perrone
Self-reported Xylazine Experiences: A Mixed Methods Study of Reddit Subscribers. medRxiv : the preprint server for health sciences (2023)
Abimbola Leslie, Omolola Okunromade, Abeed Sarker
Public Perceptions About Monkeypox on Twitter: Thematic Analysis. JMIR formative research 7 (2023)
Abeed Sarker, Mohammed Ali Al-Garadi, Yao Ge, Nisha Nataraj, Londell McGlone, Christopher M Jones, Steven A Sumner
Evidence of the emergence of illicit benzodiazepines from online drug forums. European journal of public health 32 (6) (2022)
Mohammed Ali Al-Garadi, Yuan-Chi Yang, Abeed Sarker
The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges. Healthcare (Basel, Switzerland) 10 (11) (2022)
Yuting Guo, Yao Ge, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker
Comparison of Pretraining Models and Strategies for Health-Related Social Media Text Classification. Healthcare (Basel, Switzerland) 10 (8) (2022)
Abeed Sarker
LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts. Bioinformatics (Oxford, England) 37 (16) (2021)
Abeed Sarker, Mohammed Ali Al-Garadi, Yuan-Chi Yang, Jinho Choi, Arshed A Quyyumi, Greg S Martin
Defining Patient-Oriented Natural Language Processing: A New Paradigm for Research and Development to Facilitate Adoption and Use by Medical Experts. JMIR medical informatics 9 (9) (2021)
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Whitney Bremer, Jane M Zhu, David Grande, Abeed Sarker
Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid. Journal of medical Internet research 23 (5) (2021)
Abeed Sarker, Yao Ge
Mining long-COVID symptoms from Reddit: characterizing post-COVID syndrome from patient reports. JAMIA open 4 (3) (2021)
Jane M Zhu, Abeed Sarker, Sarah E Gollust, Raina M Merchant, David Grande
Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach. Journal of medical Internet research 22 (8) (2020)
Karen O'Connor, Abeed Sarker, Jeanmarie Perrone, Graciela Gonzalez-Hernandez
Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines. Journal of medical Internet research 22 (2) (2020)
Karen Smith, Su Golder, Abeed Sarker, Yoon Loke, Karen O'Connor, Graciela Gonzalez-Hernandez
Methods to Compare Adverse Events in Twitter to FAERS, Drug Information Databases, and Systematic Reviews: Proof of Concept with Adalimumab. Drug safety 41 (12) (2019)
Abeed Sarker, Pramod Bharadwaj Chandrashekar, Arjun Magge, Haitao Cai, Ari Z Klein, Graciela Gonzalez-Hernandez
Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis. Journal of medical Internet research 19 (10) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Abeed Sarker