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Items: 1 to 20 of 69

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.

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

2.

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
3.

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]

4.

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
5.

(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
6.

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.

7.

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.

PMID:
30557683
8.

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.

9.

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.

10.

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.

PMID:
30404564
11.

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
12.

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.

13.

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.

14.

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
15.

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.

PMID:
29659320
16.

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.

17.

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.

18.

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
19.

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
20.

Language of ADHD in Adults on Social Media.

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

J Atten Disord. 2017 Nov 1:1087054717738083. doi: 10.1177/1087054717738083. [Epub ahead of print]

PMID:
29115168

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