Ungar LH - Search Results

1

Evaluating the predictability of medical conditions from social media posts.

Merchant RM, Asch DA, Crutchley P, Ungar LH, Guntuku SC, Eichstaedt JC, Hill S, Padrez K, Smith RJ, Schwartz HA. Merchant RM, et al. Among authors: ungar lh. PLoS One. 2019 Jun 17;14(6):e0215476. doi: 10.1371/journal.pone.0215476. eCollection 2019. PLoS One. 2019. PMID: 31206534 Free PMC article.

2

Natural supplements for H1N1 influenza: retrospective observational infodemiology study of information and search activity on the Internet.

Hill S, Mao J, Ungar L, Hennessy S, Leonard CE, Holmes J. Hill S, et al. J Med Internet Res. 2011 May 10;13(2):e36. doi: 10.2196/jmir.1722. J Med Internet Res. 2011. PMID: 21558062 Free PMC article.

3

A system for de-identifying medical message board text.

Benton A, Hill S, Ungar L, Chung A, Leonard C, Freeman C, Holmes JH. Benton A, et al. BMC Bioinformatics. 2011 Jun 9;12 Suppl 3(Suppl 3):S2. doi: 10.1186/1471-2105-12-S3-S2. BMC Bioinformatics. 2011. PMID: 21658289 Free PMC article.

4

Identifying potential adverse effects using the web: a new approach to medical hypothesis generation.

Benton A, Ungar L, Hill S, Hennessy S, Mao J, Chung A, Leonard CE, Holmes JH. Benton A, et al. J Biomed Inform. 2011 Dec;44(6):989-96. doi: 10.1016/j.jbi.2011.07.005. Epub 2011 Jul 26. J Biomed Inform. 2011. PMID: 21820083 Free PMC article.

5

medpie: an information extraction package for medical message board posts.

Benton A, Holmes JH, Hill S, Chung A, Ungar L. Benton A, et al. Bioinformatics. 2012 Mar 1;28(5):743-4. doi: 10.1093/bioinformatics/bts030. Epub 2012 Jan 19. Bioinformatics. 2012. PMID: 22262673 Free PMC article.

6

Online discussion of drug side effects and discontinuation among breast cancer survivors.

Mao JJ, Chung A, Benton A, Hill S, Ungar L, Leonard CE, Hennessy S, Holmes JH. Mao JJ, et al. Pharmacoepidemiol Drug Saf. 2013 Mar;22(3):256-62. doi: 10.1002/pds.3365. Epub 2013 Jan 16. Pharmacoepidemiol Drug Saf. 2013. PMID: 23322591 Free PMC article.

7

Personality, gender, and age in the language of social media: the open-vocabulary approach.

Schwartz HA, Eichstaedt JC, Kern ML, Dziurzynski L, Ramones SM, Agrawal M, Shah A, Kosinski M, Stillwell D, Seligman ME, Ungar LH. Schwartz HA, et al. Among authors: ungar lh. PLoS One. 2013 Sep 25;8(9):e73791. doi: 10.1371/journal.pone.0073791. eCollection 2013. PLoS One. 2013. PMID: 24086296 Free PMC article.

8

From "Sooo excited!!!" to "So proud": using language to study development.

Kern ML, Eichstaedt JC, Schwartz HA, Park G, Ungar LH, Stillwell DJ, Kosinski M, Dziurzynski L, Seligman ME. Kern ML, et al. Among authors: ungar lh. Dev Psychol. 2014 Jan;50(1):178-88. doi: 10.1037/a0035048. Epub 2013 Nov 25. Dev Psychol. 2014. PMID: 24274726

9

The online social self: an open vocabulary approach to personality.

Kern ML, Eichstaedt JC, Schwartz HA, Dziurzynski L, Ungar LH, Stillwell DJ, Kosinski M, Ramones SM, Seligman ME. Kern ML, et al. Among authors: ungar lh. Assessment. 2014 Apr;21(2):158-69. doi: 10.1177/1073191113514104. Epub 2013 Dec 8. Assessment. 2014. PMID: 24322010

10

LESSONS LEARNED ABOUT PUBLIC HEALTH FROM ONLINE CROWD SURVEILLANCE.

Hill S, Merchant R, Ungar L. Hill S, et al. Big Data. 2013 Sep 10;1(3):160-167. doi: 10.1089/big.2013.0020. Big Data. 2013. PMID: 25045598 Free PMC article.

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