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H Ungar

Showing results (111-120 of 170) with videos related to

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Neurocritical Care|April 28, 2011
Limitations of threshold-based brain oxygen monitoring for seizure detectionSoojin Park, Alexander Roederer, Ram Mani, et al.
Journal of Medical Internet Research|September 3, 2021
Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort StudyJonah Meyerhoff, Tony Liu, Konrad P Kording, et al.
Medrxiv : the Preprint Server for Health Sciences|January 13, 2025
Development and External Validation of a Machine Learning Model to Predict Restriction from SpirometryAlexander T Moffett, Aparna Balasubramanian, Meredith C McCormack, et al.
Psychological Methods|August 10, 2016
Gaining insights from social media language: Methodologies and challengesMargaret L Kern, Gregory Park, Johannes C Eichstaedt, et al.
Journal of General Internal Medicine|July 9, 2020
Tracking Mental Health and Symptom Mentions on Twitter During COVID-19Sharath Chandra Guntuku, Garrick Sherman, Daniel C Stokes, et al.
Npj Mental Health Research|April 12, 2024
Head versus heart: social media reveals differential language of loneliness from depressionTingting Liu, Lyle H Ungar, Brenda Curtis, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 25, 2024
Reply to Wang: Clarifying model performance and language markers of depression across racesSunny Rai, Elizabeth C Stade, Salvatore Giorgi, et al.
Procedia Computer Science|December 26, 2022
The association of language style matching in text messages with mood and anxiety symptomsCaitlin A Stamatis, Jonah Meyerhoff, Tingting Liu, et al.
JMIR Formative Research|July 8, 2022
Feasibility of Mobile Health and Social Media-Based Interventions for Young Adults With Early Psychosis and Clinical Risk for Psychosis: Survey StudyOlivia H Franco, Monica E Calkins, Salvatore Giorgi, et al.
JMIR Cardio|February 19, 2021
Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning ModelsAnietie U Andy, Sharath C Guntuku, Srinath Adusumalli, et al.
Pageof 17

Showing results (111-120 of 170) with videos related to

Sort By:
Pageof 17
Neurocritical Care|April 28, 2011
Limitations of threshold-based brain oxygen monitoring for seizure detectionSoojin Park, Alexander Roederer, Ram Mani, et al.
Journal of Medical Internet Research|September 3, 2021
Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort StudyJonah Meyerhoff, Tony Liu, Konrad P Kording, et al.
Medrxiv : the Preprint Server for Health Sciences|January 13, 2025
Development and External Validation of a Machine Learning Model to Predict Restriction from SpirometryAlexander T Moffett, Aparna Balasubramanian, Meredith C McCormack, et al.
Psychological Methods|August 10, 2016
Gaining insights from social media language: Methodologies and challengesMargaret L Kern, Gregory Park, Johannes C Eichstaedt, et al.
Journal of General Internal Medicine|July 9, 2020
Tracking Mental Health and Symptom Mentions on Twitter During COVID-19Sharath Chandra Guntuku, Garrick Sherman, Daniel C Stokes, et al.
Npj Mental Health Research|April 12, 2024
Head versus heart: social media reveals differential language of loneliness from depressionTingting Liu, Lyle H Ungar, Brenda Curtis, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 25, 2024
Reply to Wang: Clarifying model performance and language markers of depression across racesSunny Rai, Elizabeth C Stade, Salvatore Giorgi, et al.
Procedia Computer Science|December 26, 2022
The association of language style matching in text messages with mood and anxiety symptomsCaitlin A Stamatis, Jonah Meyerhoff, Tingting Liu, et al.
JMIR Formative Research|July 8, 2022
Feasibility of Mobile Health and Social Media-Based Interventions for Young Adults With Early Psychosis and Clinical Risk for Psychosis: Survey StudyOlivia H Franco, Monica E Calkins, Salvatore Giorgi, et al.
JMIR Cardio|February 19, 2021
Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning ModelsAnietie U Andy, Sharath C Guntuku, Srinath Adusumalli, et al.
Pageof 17