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Items: 1 to 50 of 189

1.

Cultural Differences in Tweeting about Drinking Across the US.

Giorgi S, Yaden DB, Eichstaedt JC, Ashford RD, Buffone AEK, Schwartz HA, Ungar LH, Curtis B.

Int J Environ Res Public Health. 2020 Feb 11;17(4). pii: E1125. doi: 10.3390/ijerph17041125.

2.

Using Social Media to Track Geographic Variability in Language About Diabetes: Analysis of Diabetes-Related Tweets Across the United States.

Griffis H, Asch DA, Schwartz HA, Ungar L, Buttenheim AM, Barg FK, Mitra N, Merchant RM.

JMIR Diabetes. 2020 Jan 26;5(1):e14431. doi: 10.2196/14431.

3.

Digital recovery networks: Characterizing user participation, engagement, and outcomes of a novel recovery social network smartphone application.

Ashford RD, Giorgi S, Mann B, Pesce C, Sherritt L, Ungar L, Curtis B.

J Subst Abuse Treat. 2020 Feb;109:50-55. doi: 10.1016/j.jsat.2019.11.005. Epub 2019 Nov 15.

PMID:
31856951
4.

Studying expressions of loneliness in individuals using twitter: an observational study.

Guntuku SC, Schneider R, Pelullo A, Young J, Wong V, Ungar L, Polsky D, Volpp KG, Merchant R.

BMJ Open. 2019 Nov 4;9(11):e030355. doi: 10.1136/bmjopen-2019-030355.

5.

A challenging ECG: a case of a lengthening PR interval.

Sanders D, Ungar L, Seto AH.

Postgrad Med. 2019 Nov;131(8):572-573. doi: 10.1080/00325481.2019.1669917. Epub 2019 Oct 1.

PMID:
31538832
6.

Building more accurate decision trees with the additive tree.

Luna JM, Gennatas ED, Ungar LH, Eaton E, Diffenderfer ES, Jensen ST, Simone CB 2nd, Friedman JH, Solberg TD, Valdes G.

Proc Natl Acad Sci U S A. 2019 Oct 1;116(40):19887-19893. doi: 10.1073/pnas.1816748116. Epub 2019 Sep 16.

7.

Patient-Reported Satisfaction and Study Drug Discontinuation: Post-Hoc Analysis of Findings from ROCKET AF.

Ungar L, Rodriguez F, Hellkamp AS, Becker RC, Berkowitz SD, Breithardt G, Fox KAA, Hacke W, Halperin JL, Hankey GJ, Nessel CC, Singer DE, Patel MR, Piccini JP, Mahaffey KW.

Cardiol Ther. 2019 Dec;8(2):283-295. doi: 10.1007/s40119-019-00146-6. Epub 2019 Aug 2.

8.

Ambulatory ECG monitoring in the age of smartphones.

Sanders D, Ungar L, Eskander MA, Seto AH.

Cleve Clin J Med. 2019 Jul;86(7):483-493. doi: 10.3949/ccjm.86a.18123. Review.

9.

Role of Klotho Protein in Tumor Genesis, Cancer Progression, and Prognosis in Patients with High-Grade Glioma.

Peshes-Yeloz N, Ungar L, Wohl A, Jacoby E, Fisher T, Leitner M, Nass D, Rubinek T, Wolf I, Cohen ZR.

World Neurosurg. 2019 Oct;130:e324-e332. doi: 10.1016/j.wneu.2019.06.082. Epub 2019 Jun 20.

PMID:
31228703
10.

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.

PLoS One. 2019 Jun 17;14(6):e0215476. doi: 10.1371/journal.pone.0215476. eCollection 2019.

11.

Expanding, Augmenting, and Operationalizing Ethical and Regulatory Considerations for Using Social Media Platforms in Research and Health Care.

Torous J, Ungar L, Barnett I.

Am J Bioeth. 2019 Jun;19(6):4-6. doi: 10.1080/15265161.2019.1611278. No abstract available.

PMID:
31135306
12.

The language of character strengths: Predicting morally valued traits on social media.

Pang D, Eichstaedt JC, Buffone A, Slaff B, Ruch W, Ungar LH.

J Pers. 2019 May 20. doi: 10.1111/jopy.12491. [Epub ahead of print]

13.

In Reply to Gensheimer and Trister.

Valdes G, Chang AJ, Cunnan A, Solberg TD, Hsu IC, Interian Y, Owen K, Jensen ST, Ungar LH.

Int J Radiat Oncol Biol Phys. 2018 Dec 1;102(5):1594-1596. doi: 10.1016/j.ijrobp.2018.08.009. No abstract available.

PMID:
31014789
14.

(Not) hearing happiness: Predicting fluctuations in happy mood from acoustic cues using machine learning.

Weidman AC, Sun J, Vazire S, Quoidbach J, Ungar LH, Dunn EW.

Emotion. 2019 Feb 11. doi: 10.1037/emo0000571. [Epub ahead of print]

PMID:
30742458
15.

Content Analysis of Metaphors About Hypertension and Diabetes on Twitter: Exploratory Mixed-Methods Study.

Sinnenberg L, Mancheno C, Barg FK, Asch DA, Rivard CL, Horst-Martz E, Buttenheim A, Ungar L, Merchant R.

JMIR Diabetes. 2018 Dec 21;3(4):e11177. doi: 10.2196/11177.

16.

Construct validity of six sentiment analysis methods in the text of encounter notes of patients with critical illness.

Weissman GE, Ungar LH, Harhay MO, Courtright KR, Halpern SD.

J Biomed Inform. 2019 Jan;89:114-121. doi: 10.1016/j.jbi.2018.12.001. Epub 2018 Dec 14.

17.

Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis.

Tufts C, Polsky D, Volpp KG, Groeneveld PW, Ungar L, Merchant RM, Pelullo AP.

JMIR Public Health Surveill. 2018 Dec 6;4(4):e10834. doi: 10.2196/10834.

18.

Stroke Outcomes With Vorapaxar Versus Placebo in Patients With Acute Coronary Syndromes: Insights From the TRACER Trial.

Ungar L, Clare RM, Rodriguez F, Kolls BJ, Armstrong PW, Aylward P, Held C, Moliterno DJ, Strony J, Van de Werf F, Wallentin L, White HD, Tricoci P, Harrington RA, Mahaffey KW, Melloni C.

J Am Heart Assoc. 2018 Dec 18;7(24):e009609. doi: 10.1161/JAHA.118.009609.

19.

Latent human traits in the language of social media: An open-vocabulary approach.

Kulkarni V, Kern ML, Stillwell D, Kosinski M, Matz S, Ungar L, Skiena S, Schwartz HA.

PLoS One. 2018 Nov 28;13(11):e0201703. doi: 10.1371/journal.pone.0201703. eCollection 2018.

20.

To Retweet or Not to Retweet: Understanding What Features of Cardiovascular Tweets Influence Their Retransmission.

Yang Q, Tufts C, Ungar L, Guntuku S, Merchant R.

J Health Commun. 2018;23(12):1026-1035. doi: 10.1080/10810730.2018.1540671. Epub 2018 Nov 7.

21.

Online Ratings of the Patient Experience: Emergency Departments Versus Urgent Care Centers.

Agarwal AK, Mahoney K, Lanza AL, Klinger EV, Asch DA, Fausti N, Tufts C, Ungar L, Merchant RM.

Ann Emerg Med. 2019 Jun;73(6):631-638. doi: 10.1016/j.annemergmed.2018.09.029. Epub 2018 Nov 2.

PMID:
30392737
22.

Facebook language predicts depression in medical records.

Eichstaedt JC, Smith RJ, Merchant RM, Ungar LH, Crutchley P, Preoţiuc-Pietro D, Asch DA, Schwartz HA.

Proc Natl Acad Sci U S A. 2018 Oct 30;115(44):11203-11208. doi: 10.1073/pnas.1802331115. Epub 2018 Oct 15.

23.

Percutaneous Coronary Intervention in Familial Hypercholesterolemia Is Understudied.

Ungar L, Sanders D, Becerra B, Barseghian A.

Front Cardiovasc Med. 2018 Aug 30;5:116. doi: 10.3389/fcvm.2018.00116. eCollection 2018. Review.

24.

Cross-platform and cross-interaction study of user personality based on images on Twitter and Flickr.

Samani ZR, Guntuku SC, Moghaddam ME, Preoţiuc-Pietro D, Ungar LH.

PLoS One. 2018 Jul 11;13(7):e0198660. doi: 10.1371/journal.pone.0198660. eCollection 2018.

25.

Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis.

Valdes G, Chang AJ, Interian Y, Owen K, Jensen ST, Ungar LH, Cunha A, Solberg TD, Hsu IC.

Int J Radiat Oncol Biol Phys. 2018 Jul 1;101(3):694-703. doi: 10.1016/j.ijrobp.2018.03.001. Epub 2018 Mar 13.

PMID:
29709315
26.

Opioid Discussion in the Twittersphere.

Graves RL, Tufts C, Meisel ZF, Polsky D, Ungar L, Merchant RM.

Subst Use Misuse. 2018 Nov 10;53(13):2132-2139. doi: 10.1080/10826084.2018.1458319. Epub 2018 Apr 16.

27.

Racial Differences in Quality of Care and Outcomes After Acute Coronary Syndrome.

Yong CM, Ungar L, Abnousi F, Asch SM, Heidenreich PA.

Am J Cardiol. 2018 Jun 15;121(12):1489-1495. doi: 10.1016/j.amjcard.2018.02.036. Epub 2018 Mar 13.

PMID:
29655881
28.

Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.

Weissman GE, Hubbard RA, Ungar LH, Harhay MO, Greene CS, Himes BE, Halpern SD.

Crit Care Med. 2018 Jul;46(7):1125-1132. doi: 10.1097/CCM.0000000000003148.

29.

Can Twitter be used to predict county excessive alcohol consumption rates?

Curtis B, Giorgi S, Buffone AEK, Ungar LH, Ashford RD, Hemmons J, Summers D, Hamilton C, Schwartz HA.

PLoS One. 2018 Apr 4;13(4):e0194290. doi: 10.1371/journal.pone.0194290. eCollection 2018.

30.

Patient narratives in Yelp reviews offer insight into opioid experiences and the challenges of pain management.

Graves RL, Goldshear J, Perrone J, Ungar L, Klinger E, Meisel ZF, Merchant RM.

Pain Manag. 2018 Mar 1;8(2):95-104. doi: 10.2217/pmt-2017-0050. Epub 2018 Feb 16.

PMID:
29451418
31.

An Online Risk Index for the Cross-Sectional Prediction of New HIV Chlamydia, and Gonorrhea Diagnoses Across U.S. Counties and Across Years.

Chan MS, Lohmann S, Morales A, Zhai C, Ungar L, Holtgrave DR, Albarracín D.

AIDS Behav. 2018 Jul;22(7):2322-2333. doi: 10.1007/s10461-018-2046-0.

PMID:
29427233
32.

Language of ADHD in Adults on Social Media.

Guntuku SC, Ramsay JR, Merchant RM, Ungar LH.

J Atten Disord. 2019 Oct;23(12):1475-1485. doi: 10.1177/1087054717738083. Epub 2017 Nov 8.

PMID:
29115168
33.

Enhanced estimations of post-stroke aphasia severity using stacked multimodal predictions.

Pustina D, Coslett HB, Ungar L, Faseyitan OK, Medaglia JD, Avants B, Schwartz MF.

Hum Brain Mapp. 2017 Nov;38(11):5603-5615. doi: 10.1002/hbm.23752. Epub 2017 Aug 7.

34.

Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study.

Smith RJ, Crutchley P, Schwartz HA, Ungar L, Shofer F, Padrez KA, Merchant RM.

J Med Internet Res. 2017 Jan 6;19(1):e7. doi: 10.2196/jmir.6486.

35.

MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision Medicine.

Valdes G, Luna JM, Eaton E, Simone CB 2nd, Ungar LH, Solberg TD.

Sci Rep. 2016 Nov 30;6:37854. doi: 10.1038/srep37854.

36.

Twitter as a Tool for Health Research: A Systematic Review.

Sinnenberg L, Buttenheim AM, Padrez K, Mancheno C, Ungar L, Merchant RM.

Am J Public Health. 2017 Jan;107(1):e1-e8. Epub 2016 Nov 17. Review.

37.

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.

JAMA Cardiol. 2016 Dec 1;1(9):1032-1036. doi: 10.1001/jamacardio.2016.3029.

38.

Gaining insights from social media language: Methodologies and challenges.

Kern ML, Park G, Eichstaedt JC, Schwartz HA, Sap M, Smith LK, Ungar LH.

Psychol Methods. 2016 Dec;21(4):507-525. Epub 2016 Aug 8.

PMID:
27505683
39.

Using machine learning to predict radiation pneumonitis in patients with stage I non-small cell lung cancer treated with stereotactic body radiation therapy.

Valdes G, Solberg TD, Heskel M, Ungar L, Simone CB 2nd.

Phys Med Biol. 2016 Aug 21;61(16):6105-20. doi: 10.1088/0031-9155/61/16/6105. Epub 2016 Jul 27.

40.

Vorapaxar: emerging evidence and clinical questions in a new era of PAR-1 inhibition.

Ungar L, Rodriguez F, Mahaffey KW.

Coron Artery Dis. 2016 Nov;27(7):604-15. doi: 10.1097/MCA.0000000000000409. Review.

PMID:
27398626
41.

Women are Warmer but No Less Assertive than Men: Gender and Language on Facebook.

Park G, Yaden DB, Schwartz HA, Kern ML, Eichstaedt JC, Kosinski M, Stillwell D, Ungar LH, Seligman ME.

PLoS One. 2016 May 25;11(5):e0155885. doi: 10.1371/journal.pone.0155885. eCollection 2016.

42.

Yelp Reviews Of Hospital Care Can Supplement And Inform Traditional Surveys Of The Patient Experience Of Care.

Ranard BL, Werner RM, Antanavicius T, Schwartz HA, Smith RJ, Meisel ZF, Asch DA, Ungar LH, Merchant RM.

Health Aff (Millwood). 2016 Apr;35(4):697-705. doi: 10.1377/hlthaff.2015.1030.

43.

Using Twitter to Measure Public Discussion of Diseases: A Case Study.

Weeg C, Schwartz HA, Hill S, Merchant RM, Arango C, Ungar L.

JMIR Public Health Surveill. 2015 Jun 26;1(1):e6. doi: 10.2196/publichealth.3953.

44.

PREDICTING INDIVIDUAL WELL-BEING THROUGH THE LANGUAGE OF SOCIAL MEDIA.

Schwartz HA, Sap M, Kern ML, Eichstaedt JC, Kapelner A, Agrawal M, Blanco E, Dziurzynski L, Park G, Stillwell D, Kosinski M, Seligman ME, Ungar LH.

Pac Symp Biocomput. 2016;21:516-27.

45.

Living in the Past, Present, and Future: Measuring Temporal Orientation With Language.

Park G, Schwartz HA, Sap M, Kern ML, Weingarten E, Eichstaedt JC, Berger J, Stillwell DJ, Kosinski M, Ungar LH, Seligman ME.

J Pers. 2017 Apr;85(2):270-280. doi: 10.1111/jopy.12239. Epub 2016 Feb 29.

PMID:
26710321
46.

Future-oriented tweets predict lower county-level HIV prevalence in the United States.

Ireland ME, Schwartz HA, Chen Q, Ungar LH, Albarracín D.

Health Psychol. 2015 Dec;34S:1252-60. doi: 10.1037/hea0000279.

47.

Action Tweets Linked to Reduced County-Level HIV Prevalence in the United States: Online Messages and Structural Determinants.

Ireland ME, Chen Q, Schwartz HA, Ungar LH, Albarracin D.

AIDS Behav. 2016 Jun;20(6):1256-64. doi: 10.1007/s10461-015-1252-2.

48.

DASHR: database of small human noncoding RNAs.

Leung YY, Kuksa PP, Amlie-Wolf A, Valladares O, Ungar LH, Kannan S, Gregory BD, Wang LS.

Nucleic Acids Res. 2016 Jan 4;44(D1):D216-22. doi: 10.1093/nar/gkv1188. Epub 2015 Nov 8.

49.

Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department.

Padrez KA, Ungar L, Schwartz HA, Smith RJ, Hill S, Antanavicius T, Brown DM, Crutchley P, Asch DA, Merchant RM.

BMJ Qual Saf. 2016 Jun;25(6):414-23. doi: 10.1136/bmjqs-2015-004489. Epub 2015 Oct 13.

PMID:
26464519
50.

Context Sensitive Modeling of Cancer Drug Sensitivity.

Chen BJ, Litvin O, Ungar L, Pe'er D.

PLoS One. 2015 Aug 14;10(8):e0133850. doi: 10.1371/journal.pone.0133850. eCollection 2015.

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