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Psychological language on Twitter predicts county-level heart disease mortality.
Eichstaedt JC, Schwartz HA, Kern ML, Park G, Labarthe DR, Merchant RM, Jha S, Agrawal M, Dziurzynski LA, Sap M, Weeg C, Larson EE, Ungar LH, Seligman ME. Eichstaedt JC, et al. Among authors: ungar lh. Psychol Sci. 2015 Feb;26(2):159-69. doi: 10.1177/0956797614557867. Epub 2015 Jan 20. Psychol Sci. 2015. PMID: 25605707 Free PMC article.
Using Twitter to Measure Public Discussion of Diseases: A Case Study.
Weeg C, Schwartz HA, Hill S, Merchant RM, Arango C, Ungar L. Weeg C, et al. Among authors: ungar l. JMIR Public Health Surveill. 2015 Jun 26;1(1):e6. doi: 10.2196/publichealth.3953. JMIR Public Health Surveill. 2015. PMID: 26925459 Free PMC article.
Twitter as a Potential Data Source for Cardiovascular Disease Research.
Sinnenberg L, DiSilvestro CL, Mancheno C, Dailey K, Tufts C, Buttenheim AM, Barg F, Ungar L, Schwartz H, Brown D, Asch DA, Merchant RM. Sinnenberg L, et al. Among authors: ungar l. JAMA Cardiol. 2016 Dec 1;1(9):1032-1036. doi: 10.1001/jamacardio.2016.3029. JAMA Cardiol. 2016. PMID: 27680322 Free PMC article.
Twitter as a Tool for Health Research: A Systematic Review.
Sinnenberg L, Buttenheim AM, Padrez K, Mancheno C, Ungar L, Merchant RM. Sinnenberg L, et al. Among authors: ungar l. Am J Public Health. 2017 Jan;107(1):e1-e8. doi: 10.2105/AJPH.2016.303512. Epub 2016 Nov 17. Am J Public Health. 2017. PMID: 27854532 Free PMC article. Review.
285 results