Abeed Sarker

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Graciela Gonzalez-HernandezDep. of Computational Biomedicine, Cedars-Sinai Medical CenterPatvirtintas el. paštas cshs.org
Karen O'ConnorSenior Data Analyst, University of PennsylvaniaPatvirtintas el. paštas pennmedicine.upenn.edu
Mohammed Ali Al-GaradiResearch Assistant Professor, Vanderbilt UniversityPatvirtintas el. paštas vumc.org
Yuan-Chi YangEmory UniversityPatvirtintas el. paštas emory.edu
Azadeh NikfarjamStanford UniversityPatvirtintas el. paštas stanford.edu
Davy WeissenbacherResearch Data Scientist at Cedars-SinaiPatvirtintas el. paštas cshs.org
Ari Z. KleinUniversity of PennsylvaniaPatvirtintas el. paštas pennmedicine.upenn.edu
Diego MollaMacquarie UniversityPatvirtintas el. paštas mq.edu.au
Rachel GinnData Science AnalystPatvirtintas el. paštas asu.edu
Michael J. PaulUniversity of Colorado BoulderPatvirtintas el. paštas colorado.edu
Imon BanerjeeMayo Clinic, AZPatvirtintas el. paštas mayo.edu
Sophia AnaniadouProfessor, Computer Science, Manchester University, National Centre for Text MiningPatvirtintas el. paštas manchester.ac.uk
Ioannis KorkontzelosProfessor in Computer Science (Data Analytics), Department of Computer Science, Edge Hill UniversityPatvirtintas el. paštas edgehill.ac.uk
John BrownsteinHarvard Medical SchoolPatvirtintas el. paštas harvard.edu
Guergana SavovaPatricia F. Brennan Professor, HarvardPatvirtintas el. paštas childrens.harvard.edu
Saif M. MohammadPrincipal Research Scientist (NLP,Computational Affective Science), National Research Council CanadaPatvirtintas el. paštas nrc-cnrc.gc.ca
Svetlana KiritchenkoNational Research Council CanadaPatvirtintas el. paštas nrc-cnrc.gc.ca
Berry de BruijnNational Research CouncilPatvirtintas el. paštas nrc-cnrc.gc.ca
Anthony RiosAssistant Professor in Information Systems and Cyber SecurityPatvirtintas el. paštas utsa.edu
Ramakanth KavuluruProfessor, University of KentuckyPatvirtintas el. paštas uky.edu

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Abeed Sarker

Emory University School of Medicine

Patvirtintas el. paštas dbmi.emory.edu - Pagrindinis puslapis

Natural Language Processing Biomedical Informatics Health Data Science Applied Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	675	2015
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	616	2015
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	454	2015
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, 231-240, 2016	242	2016
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	213	2016
Pharmacovigilance on twitter? Mining tweets for adverse drug reactions K O’Connor, P Pimpalkhute, A Nikfarjam, R Ginn, A Sarker, K Smith, ... AMIA annual symposium proceedings 2014, 924, 2014	182	2014
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	175	2016
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	174	2014
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	167	2020
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	138	2017
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	119	2019
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	99	2018
Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter A Sarker, G Gonzalez-Hernandez, Y Ruan, J Perrone JAMA Network Open 2 (11), e1914672, 2019	94	2019
Text Classification Models for the Automatic Detection of Nonmedical Prescription Medication Use from Social Media M Ali Al-Garadi, Y Yang, H Cai, Y Ruan, K O'Connor, ...	93	2021
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	89	2018
Overview of the sixth social media mining for health applications (# SMM4H) shared tasks at NAACL 2021 A Magge, A Klein, A Miranda-Escalada, MA Al-Garadi, I Alimova, ... Proceedings of the sixth social media mining for health (# SMM4H) workshop …, 2021	82	2021
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	81	2014
Overview of the fifth social media mining for health applications (# smm4h) shared tasks at coling 2020 A Klein, I Alimova, I Flores, A Magge, Z Miftahutdinov, AL Minard, ... Proceedings of the fifth social media mining for health applications …, 2020	73	2020
Few-shot learning for medical text: A review of advances, trends, and opportunities Y Ge, Y Guo, S Das, MA Al-Garadi, A Sarker Journal of Biomedical Informatics, 104458, 2023	70*	2023
Social media mining shared task workshop A Sarker, A Nikfarjam, G Gonzalez Biocomputing 2016: Proceedings of the Pacific Symposium, 581-592, 2016	68	2016

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