Abeed Sarker
Title
Cited by
Cited by
Year
Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features
A Nikfarjam, A Sarker, K O’connor, R Ginn, G Gonzalez
Journal of the American Medical Informatics Association 22 (3), 671-681, 2015
5032015
Utilizing social media data for pharmacovigilance: a review
A Sarker, R Ginn, A Nikfarjam, K O’Connor, K Smith, S Jayaraman, ...
Journal of biomedical informatics 54, 202-212, 2015
4472015
Portable automatic text classification for adverse drug reaction detection via multi-corpus training
A Sarker, G Gonzalez
Journal of biomedical informatics 53, 196-207, 2015
3352015
Social media mining for toxicovigilance: automatic monitoring of prescription medication abuse from Twitter
A Sarker, K O’connor, R Ginn, M Scotch, K Smith, D Malone, G Gonzalez
Drug safety 39 (3), 231-240, 2016
1682016
Pharmacovigilance on twitter? Mining tweets for adverse drug reactions
K O’Connor, P Pimpalkhute, A Nikfarjam, R Ginn, A Smith, Sarker, K L, ...
AMIA annual symposium proceedings 2014, 924, 2014
1422014
Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts
I Korkontzelos, A Nikfarjam, M Shardlow, A Sarker, S Ananiadou, ...
Journal of biomedical informatics 62, 148-158, 2016
1382016
Mining Twitter for adverse drug reaction mentions: a corpus and classification benchmark
R Ginn, P Pimpalkhute, A Nikfarjam, A Patki, K O’Connor, A Sarker, ...
Proceedings of the fourth workshop on building and evaluating resources for …, 2014
1362014
Social media mining for public health monitoring and surveillance
MJ Paul, A Sarker, JS Brownstein, A Nikfarjam, M Scotch, KL Smith, ...
Biocomputing 2016: Proceedings of the Pacific symposium, 468-479, 2016
1202016
Capturing the patient’s perspective: a review of advances in natural language processing of health-related text
G Gonzalez-Hernandez, A Sarker, K O’Connor, G Savova
Yearbook of medical informatics 26 (01), 214-227, 2017
762017
Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource
A Sarker, S Lakamana, W Hogg-Bremer, A Xie, MA Al-Garadi, YC Yang
Journal of the American Medical Informatics Association 27 (8), 1310-1315, 2020
642020
Mining adverse drug reaction signals from social media: going beyond extraction
A Patki, A Sarker, P Pimpalkhute, A Nikfarjam, R Ginn, K O’Connor, ...
Proceedings of BioLinkSig 2014, 1-8, 2014
592014
Overview of the third social media mining for health (SMM4H) shared tasks at EMNLP 2018
D Weissenbacher, A Sarker, M Paul, G Gonzalez
Proceedings of the 2018 EMNLP workshop SMM4H: the 3rd social media mining …, 2018
572018
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task
A Sarker, M Belousov, J Friedrichs, K Hakala, S Kiritchenko, F Mehryary, ...
Journal of the American Medical Informatics Association 25 (10), 1274-1283, 2018
542018
Overview of the fourth social media mining for health (SMM4H) shared tasks at ACL 2019
D Weissenbacher, A Sarker, A Magge, A Daughton, K O’Connor, M Paul, ...
Proceedings of the fourth social media mining for health applications …, 2019
522019
Social media mining shared task workshop
A Sarker, A Nikfarjam, G Gonzalez
Biocomputing 2016: Proceedings of the Pacific Symposium, 581-592, 2016
472016
A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilities
A Sarker, G Gonzalez
Data in brief 10, 122-131, 2017
462017
Detecting personal medication intake in Twitter: an annotated corpus and baseline classification system
A Klein, A Sarker, M Rouhizadeh, K O’Connor, G Gonzalez
BioNLP 2017, 136-142, 2017
412017
An unsupervised and customizable misspelling generator for mining noisy health-related text sources
A Sarker, G Gonzalez-Hernandez
Journal of biomedical informatics 88, 98-107, 2018
402018
Deep neural networks ensemble for detecting medication mentions in tweets
D Weissenbacher, A Sarker, A Klein, K O’Connor, A Magge, ...
Journal of the American Medical Informatics Association, 2019
342019
Discovering cohorts of pregnant women from social media for safety surveillance and analysis
A Sarker, P Chandrashekar, A Magge, H Cai, A Klein, G Gonzalez
Journal of medical Internet research 19 (10), e8164, 2017
332017
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