Sarker A - Search Results

1

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

Sarker A, DeRoos A, Perrone J. Sarker A, et al. J Am Med Inform Assoc. 2020 Feb 1;27(2):315-329. doi: 10.1093/jamia/ocz162. J Am Med Inform Assoc. 2020. PMID: 31584645 Free PMC article. Review.

2

Utilizing social media data for pharmacovigilance: A review.

Sarker A, Ginn R, Nikfarjam A, O'Connor K, Smith K, Jayaraman S, Upadhaya T, Gonzalez G. Sarker A, et al. J Biomed Inform. 2015 Apr;54:202-12. doi: 10.1016/j.jbi.2015.02.004. Epub 2015 Feb 23. J Biomed Inform. 2015. PMID: 25720841 Free PMC article. Review.

3

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features.

Nikfarjam A, Sarker A, O'Connor K, Ginn R, Gonzalez G. Nikfarjam A, et al. Among authors: sarker a. J Am Med Inform Assoc. 2015 May;22(3):671-81. doi: 10.1093/jamia/ocu041. Epub 2015 Mar 9. J Am Med Inform Assoc. 2015. PMID: 25755127 Free PMC article.

4

Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter.

Sarker A, O'Connor K, Ginn R, Scotch M, Smith K, Malone D, Gonzalez G. Sarker A, et al. Drug Saf. 2016 Mar;39(3):231-40. doi: 10.1007/s40264-015-0379-4. Drug Saf. 2016. PMID: 26748505 Free PMC article.

5

SOCIAL MEDIA MINING SHARED TASK WORKSHOP.

Sarker A, Nikfarjam A, Gonzalez G. Sarker A, et al. Pac Symp Biocomput. 2016;21:581-92. Pac Symp Biocomput. 2016. PMID: 26776221 Free article.

6

Authors' Reply to Jouanjus and Colleagues' Comment on "Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter".

Sarker A, Malone D, Gonzalez G. Sarker A, et al. Drug Saf. 2017 Feb;40(2):187-188. doi: 10.1007/s40264-016-0498-6. Drug Saf. 2017. PMID: 28070742 No abstract available.

7

Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis.

Sarker A, Chandrashekar P, Magge A, Cai H, Klein A, Gonzalez G. Sarker A, et al. J Med Internet Res. 2017 Oct 30;19(10):e361. doi: 10.2196/jmir.8164. J Med Internet Res. 2017. PMID: 29084707 Free PMC article.

8

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.

Sarker A, Belousov M, Friedrichs J, Hakala K, Kiritchenko S, Mehryary F, Han S, Tran T, Rios A, Kavuluru R, de Bruijn B, Ginter F, Mahata D, Mohammad SM, Nenadic G, Gonzalez-Hernandez G. Sarker A, et al. J Am Med Inform Assoc. 2018 Oct 1;25(10):1274-1283. doi: 10.1093/jamia/ocy114. J Am Med Inform Assoc. 2018. PMID: 30272184 Free PMC article.

9

Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter.

Klein AZ, Sarker A, Cai H, Weissenbacher D, Gonzalez-Hernandez G. Klein AZ, et al. Among authors: sarker a. J Biomed Inform. 2018 Nov;87:68-78. doi: 10.1016/j.jbi.2018.10.001. Epub 2018 Oct 4. J Biomed Inform. 2018. PMID: 30292855 Free PMC article.

10

An unsupervised and customizable misspelling generator for mining noisy health-related text sources.

Sarker A, Gonzalez-Hernandez G. Sarker A, et al. J Biomed Inform. 2018 Dec;88:98-107. doi: 10.1016/j.jbi.2018.11.007. Epub 2018 Nov 13. J Biomed Inform. 2018. PMID: 30445220 Free PMC article.

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