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Items: 45

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.

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]

PMID:
31107975
3.

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
4.

(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
5.

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
6.

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.

7.

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.

8.

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
9.

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.

PMID:
29629986
10.

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.

11.

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
12.

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.

13.

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
14.

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.

15.

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.

16.

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.

17.

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
18.

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.

19.

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.

20.

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.

21.

The Mechanics of Human Achievement.

Duckworth AL, Eichstaedt JC, Ungar LH.

Soc Personal Psychol Compass. 2015 Jul;9(7):359-369.

22.

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.

Psychol Sci. 2015 Feb;26(2):159-69. doi: 10.1177/0956797614557867. Epub 2015 Jan 20.

23.

Automatic personality assessment through social media language.

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

J Pers Soc Psychol. 2015 Jun;108(6):934-52. doi: 10.1037/pspp0000020. Epub 2014 Nov 3.

PMID:
25365036
24.

The 2013 US Government Shutdown (#Shutdown) and health: an emerging role for social media.

Merchant RM, Ha YP, Wong CA, Schwartz HA, Sap M, Ungar LH, Asch DA.

Am J Public Health. 2014 Dec;104(12):2248-50. doi: 10.2105/AJPH.2014.302118. Epub 2014 Oct 16.

25.

Subject-specific functional parcellation via prior based eigenanatomy.

Dhillon PS, Wolk DA, Das SR, Ungar LH, Gee JC, Avants BB.

Neuroimage. 2014 Oct 1;99:14-27. doi: 10.1016/j.neuroimage.2014.05.026. Epub 2014 May 20.

26.

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.

Assessment. 2014 Apr;21(2):158-69. doi: 10.1177/1073191113514104. Epub 2013 Dec 8.

PMID:
24322010
27.

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.

Dev Psychol. 2014 Jan;50(1):178-88. doi: 10.1037/a0035048. Epub 2013 Nov 25.

PMID:
24274726
28.

Using machine learning and high-throughput RNA sequencing to classify the precursors of small non-coding RNAs.

Ryvkin P, Leung YY, Ungar LH, Gregory BD, Wang LS.

Methods. 2014 May 1;67(1):28-35. doi: 10.1016/j.ymeth.2013.10.002. Epub 2013 Oct 18.

29.

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.

PLoS One. 2013 Sep 25;8(9):e73791. doi: 10.1371/journal.pone.0073791. eCollection 2013.

30.

CoRAL: predicting non-coding RNAs from small RNA-sequencing data.

Leung YY, Ryvkin P, Ungar LH, Gregory BD, Wang LS.

Nucleic Acids Res. 2013 Aug;41(14):e137. doi: 10.1093/nar/gkt426. Epub 2013 May 21.

31.

Extracting templates from radiology reports using sequence alignment.

Wu S, Langlotz CP, Lakhani P, Ungar LH.

Int J Data Min Bioinform. 2012;6(6):633-50.

PMID:
23356012
32.

Limitations of threshold-based brain oxygen monitoring for seizure detection.

Park S, Roederer A, Mani R, Schmitt S, LeRoux PD, Ungar LH, Lee I, Kasner SE.

Neurocrit Care. 2011 Dec;15(3):469-76. doi: 10.1007/s12028-011-9540-9.

PMID:
21523525
33.

MetaProm: a neural network based meta-predictor for alternative human promoter prediction.

Wang J, Ungar LH, Tseng H, Hannenhalli S.

BMC Genomics. 2007 Oct 17;8:374.

34.

Identification of potential CSF biomarkers in ALS.

Pasinetti GM, Ungar LH, Lange DJ, Yemul S, Deng H, Yuan X, Brown RH, Cudkowicz ME, Newhall K, Peskind E, Marcus S, Ho L.

Neurology. 2006 Apr 25;66(8):1218-22. Epub 2006 Feb 15.

PMID:
16481598
35.

Automatic term list generation for entity tagging.

Sandler T, Schein AI, Ungar LH.

Bioinformatics. 2006 Mar 15;22(6):651-7. Epub 2005 Oct 25.

PMID:
16249261
36.

Using prior knowledge to improve genetic network reconstruction from microarray data.

Le Phillip P, Bahl A, Ungar LH.

In Silico Biol. 2004;4(3):335-53.

PMID:
15724284
37.

The CRASSS plug-in for integrating annotation data with hierarchical clustering results.

Buehler EC, Sachs JR, Shao K, Bagchi A, Ungar LH.

Bioinformatics. 2004 Nov 22;20(17):3266-9. Epub 2004 Jun 16.

PMID:
15201188
38.

Chloroplast transit peptide prediction: a peek inside the black box.

Schein AI, Kissinger JC, Ungar LH.

Nucleic Acids Res. 2001 Aug 15;29(16):E82.

39.

SVD-NET: an algorithm that automatically selects network structure.

Psichogios DC, Ungar LH.

IEEE Trans Neural Netw. 1994;5(3):513-5.

PMID:
18267823
40.

Significance of conductances in Hodgkin-Huxley models.

Foster WR, Ungar LH, Schwaber JS.

J Neurophysiol. 1993 Dec;70(6):2502-18.

PMID:
7509859
41.

Using radial basis functions to approximate a function and its error bounds.

Leonard JA, Kramer MA, Ungar LH.

IEEE Trans Neural Netw. 1992;3(4):624-7.

PMID:
18276463
42.

Prediction of decoupling in high-temperature superconductors.

Durand PP, Ungar LH.

Phys Rev B Condens Matter. 1990 Jan 1;41(1):815-818. No abstract available.

PMID:
9992831
43.

Steady and oscillatory cellular morphologies in rapid solidification.

Kelly FX, Ungar LH.

Phys Rev B Condens Matter. 1986 Aug 1;34(3):1746-1753. No abstract available.

PMID:
9939825
44.

Cellular interface morphologies in directional solidification. IV. The formation of deep cells.

Ungar LH, Brown RA.

Phys Rev B Condens Matter. 1985 May 1;31(9):5931-5940. No abstract available.

PMID:
9936590
45.

Cellular interface morphologies in directional solidification. III. The effects of heat transfer and solid diffusivity.

Ungar LH, Bennett MJ, Brown RA.

Phys Rev B Condens Matter. 1985 May 1;31(9):5923-5930. No abstract available.

PMID:
9936589

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