Gonzalez G - Search Results

1

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. Among authors: gonzalez g. 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.

2

SOCIAL MEDIA MINING SHARED TASK WORKSHOP.

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

3

Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts.

Korkontzelos I, Nikfarjam A, Shardlow M, Sarker A, Ananiadou S, Gonzalez GH. Korkontzelos I, et al. J Biomed Inform. 2016 Aug;62:148-58. doi: 10.1016/j.jbi.2016.06.007. Epub 2016 Jun 27. J Biomed Inform. 2016. PMID: 27363901 Free PMC article.

4

Portable automatic text classification for adverse drug reaction detection via multi-corpus training.

Sarker A, Gonzalez G. Sarker A, et al. Among authors: gonzalez g. J Biomed Inform. 2015 Feb;53:196-207. doi: 10.1016/j.jbi.2014.11.002. Epub 2014 Nov 8. J Biomed Inform. 2015. PMID: 25451103 Free PMC article.

5

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. Among authors: gonzalez g. 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.

6

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: gonzalez g. 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.

7

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. Among authors: gonzalez g. Drug Saf. 2016 Mar;39(3):231-40. doi: 10.1007/s40264-015-0379-4. Drug Saf. 2016. PMID: 26748505 Free PMC article.

8

FINDING POTENTIALLY UNSAFE NUTRITIONAL SUPPLEMENTS FROM USER REVIEWS WITH TOPIC MODELING.

Sullivan R, Sarker A, O'Connor K, Goodin A, Karlsrud M, Gonzalez G. Sullivan R, et al. Among authors: gonzalez g. Pac Symp Biocomput. 2016;21:528-39. Pac Symp Biocomput. 2016. PMID: 26776215 Free PMC article.

9

A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilities.

Sarker A, Gonzalez G. Sarker A, et al. Among authors: gonzalez g. Data Brief. 2016 Nov 23;10:122-131. doi: 10.1016/j.dib.2016.11.056. eCollection 2017 Feb. Data Brief. 2016. PMID: 27981203 Free PMC article.

10

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. Among authors: gonzalez g. Drug Saf. 2017 Feb;40(2):187-188. doi: 10.1007/s40264-016-0498-6. Drug Saf. 2017. PMID: 28070742 No abstract available.

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