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H Ungar

Showing results (121-130 of 170) with videos related to

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American Journal of Public Health|October 17, 2014
The 2013 US Government Shutdown (#Shutdown) and health: an emerging role for social mediaRaina M Merchant, Yoonhee P Ha, Charlene A Wong, et al.
Critical Care Medicine|March 12, 2021
A Simulated Prospective Evaluation of a Deep Learning Model for Real-Time Prediction of Clinical Deterioration Among Ward PatientsParth K Shah, Jennifer C Ginestra, Lyle H Ungar, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 21, 2021
The emotional and mental health impact of the murder of George Floyd on the US populationJohannes C Eichstaedt, Garrick T Sherman, Salvatore Giorgi, et al.
Depression and Anxiety|October 25, 2022
Prospective associations of text-message-based sentiment with symptoms of depression, generalized anxiety, and social anxietyCaitlin A Stamatis, Jonah Meyerhoff, Tingting Liu, et al.
Critical Care Medicine|April 10, 2018
Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU StayGary E Weissman, Rebecca A Hubbard, Lyle H Ungar, et al.
Journal of Affective Disorders|December 29, 2021
The relationship between text message sentiment and self-reported depressionTony Liu, Jonah Meyerhoff, Johannes C Eichstaedt, et al.
Nucleic Acids Research|November 11, 2015
DASHR: database of small human noncoding RNAsYuk Yee Leung, Pavel P Kuksa, Alexandre Amlie-Wolf, et al.
Social Psychiatry and Psychiatric Epidemiology|December 2, 2025
Comparing patterns of recent mental health service use for predicting suicidal events following emergency department mental health visits in the United States: A national cohort studyTimothy Schmutte, Steven C Marcus, Ming Xie, et al.
General Hospital Psychiatry|June 10, 2026
Machine-learning identified suicide risk and emergency department inpatient admissionSteven C Marcus, Nathaniel J Williams, Timothy Schmutte, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 17, 2018
Facebook language predicts depression in medical recordsJohannes C Eichstaedt, Robert J Smith, Raina M Merchant, et al.
Pageof 17

Showing results (121-130 of 170) with videos related to

Sort By:
Pageof 17
American Journal of Public Health|October 17, 2014
The 2013 US Government Shutdown (#Shutdown) and health: an emerging role for social mediaRaina M Merchant, Yoonhee P Ha, Charlene A Wong, et al.
Critical Care Medicine|March 12, 2021
A Simulated Prospective Evaluation of a Deep Learning Model for Real-Time Prediction of Clinical Deterioration Among Ward PatientsParth K Shah, Jennifer C Ginestra, Lyle H Ungar, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 21, 2021
The emotional and mental health impact of the murder of George Floyd on the US populationJohannes C Eichstaedt, Garrick T Sherman, Salvatore Giorgi, et al.
Depression and Anxiety|October 25, 2022
Prospective associations of text-message-based sentiment with symptoms of depression, generalized anxiety, and social anxietyCaitlin A Stamatis, Jonah Meyerhoff, Tingting Liu, et al.
Critical Care Medicine|April 10, 2018
Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU StayGary E Weissman, Rebecca A Hubbard, Lyle H Ungar, et al.
Journal of Affective Disorders|December 29, 2021
The relationship between text message sentiment and self-reported depressionTony Liu, Jonah Meyerhoff, Johannes C Eichstaedt, et al.
Nucleic Acids Research|November 11, 2015
DASHR: database of small human noncoding RNAsYuk Yee Leung, Pavel P Kuksa, Alexandre Amlie-Wolf, et al.
Social Psychiatry and Psychiatric Epidemiology|December 2, 2025
Comparing patterns of recent mental health service use for predicting suicidal events following emergency department mental health visits in the United States: A national cohort studyTimothy Schmutte, Steven C Marcus, Ming Xie, et al.
General Hospital Psychiatry|June 10, 2026
Machine-learning identified suicide risk and emergency department inpatient admissionSteven C Marcus, Nathaniel J Williams, Timothy Schmutte, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 17, 2018
Facebook language predicts depression in medical recordsJohannes C Eichstaedt, Robert J Smith, Raina M Merchant, et al.
Pageof 17