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Abeed Sarker

Showing results (51-60 of 115) with videos related to

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Clinical Toxicology (Philadelphia, Pa.)|April 4, 2023
An analysis of cannabinoid hyperemesis syndrome Reddit posts and themesRachel S Wightman, Jeanmarie Perrone, Alexandra B Collins, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 19, 2016
FINDING POTENTIALLY UNSAFE NUTRITIONAL SUPPLEMENTS FROM USER REVIEWS WITH TOPIC MODELINGRyan Sullivan, Abeed Sarker, Karen O'Connor, et al.
Journal of Medical Internet Research|November 1, 2017
Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and AnalysisAbeed Sarker, Pramod Chandrashekar, Arjun Magge, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related DatasetSumon Kanti Dey, Jeanne M Powell, Azra Ismail, et al.
Drug Safety|September 1, 2018
Methods to Compare Adverse Events in Twitter to FAERS, Drug Information Databases, and Systematic Reviews: Proof of Concept with AdalimumabKaren Smith, Su Golder, Abeed Sarker, et al.
Computers in Biology and Medicine|September 27, 2025
Leveraging few-shot learning and large language models for analyzing blood pressure variations across biological sex from scientific literatureYuting Guo, Seyedeh Somayyeh Mousavi, Yao Ge, et al.
Journal of the American Medical Informatics Association : JAMIA|September 29, 2019
Deep neural networks ensemble for detecting medication mentions in tweetsDavy Weissenbacher, Abeed Sarker, Ari Klein, et al.
Healthcare (Basel, Switzerland)|August 26, 2022
Comparison of Pretraining Models and Strategies for Health-Related Social Media Text ClassificationYuting Guo, Yao Ge, Yuan-Chi Yang, et al.
Proceedings. IEEE International Conference on Healthcare Informatics|August 29, 2023
A comparison of few-shot and traditional named entity recognition models for medical textYao Ge, Yuting Guo, Yuan-Chi Yang, et al.
Journal of Biomedical Informatics|July 2, 2016
Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum postsIoannis Korkontzelos, Azadeh Nikfarjam, Matthew Shardlow, et al.
Pageof 12

Showing results (51-60 of 115) with videos related to

Sort By:
Pageof 12
Clinical Toxicology (Philadelphia, Pa.)|April 4, 2023
An analysis of cannabinoid hyperemesis syndrome Reddit posts and themesRachel S Wightman, Jeanmarie Perrone, Alexandra B Collins, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 19, 2016
FINDING POTENTIALLY UNSAFE NUTRITIONAL SUPPLEMENTS FROM USER REVIEWS WITH TOPIC MODELINGRyan Sullivan, Abeed Sarker, Karen O'Connor, et al.
Journal of Medical Internet Research|November 1, 2017
Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and AnalysisAbeed Sarker, Pramod Chandrashekar, Arjun Magge, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related DatasetSumon Kanti Dey, Jeanne M Powell, Azra Ismail, et al.
Drug Safety|September 1, 2018
Methods to Compare Adverse Events in Twitter to FAERS, Drug Information Databases, and Systematic Reviews: Proof of Concept with AdalimumabKaren Smith, Su Golder, Abeed Sarker, et al.
Computers in Biology and Medicine|September 27, 2025
Leveraging few-shot learning and large language models for analyzing blood pressure variations across biological sex from scientific literatureYuting Guo, Seyedeh Somayyeh Mousavi, Yao Ge, et al.
Journal of the American Medical Informatics Association : JAMIA|September 29, 2019
Deep neural networks ensemble for detecting medication mentions in tweetsDavy Weissenbacher, Abeed Sarker, Ari Klein, et al.
Healthcare (Basel, Switzerland)|August 26, 2022
Comparison of Pretraining Models and Strategies for Health-Related Social Media Text ClassificationYuting Guo, Yao Ge, Yuan-Chi Yang, et al.
Proceedings. IEEE International Conference on Healthcare Informatics|August 29, 2023
A comparison of few-shot and traditional named entity recognition models for medical textYao Ge, Yuting Guo, Yuan-Chi Yang, et al.
Journal of Biomedical Informatics|July 2, 2016
Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum postsIoannis Korkontzelos, Azadeh Nikfarjam, Matthew Shardlow, et al.
Pageof 12