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John Zulueta

Showing results (1-10 of 18) with videos related to

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International Review of Psychiatry (Abingdon, England)|November 19, 2020
Beyond non-inferior: how telepsychiatry technologies can lead to superior careJohn Zulueta, Olusola A Ajilore
Focus (American Psychiatric Publishing)|November 9, 2020
Real-Time Monitoring: A Key Element in Personalized Health and Precision HealthJohn Zulueta, Alex D Leow, Olusola Ajilore
The American Journal of Bioethics : AJOB|September 18, 2020
How Obvious is Obvious? The Role of Technology in Public HealthJohn Zulueta, Bhrandon Harris, Eric S Swirsky
The American Journal of Bioethics : AJOB|June 21, 2021
Four Stages in Social Media Network Analysis-Building Blocks for Health-Related Digital Autonomy in Artificial Intelligence, Social Media, and DepressionCarol G Gu, Elizabeth Lerner Papautsky, Andrew D Boyd, et al.
BMC Medical Informatics and Decision Making|July 25, 2021
Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published modelsWilliam Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, et al.
Journal of Medical Internet Research|July 22, 2018
Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping StudyJohn Zulueta, Andrea Piscitello, Mladen Rasic, et al.
Bipolar Disorders|March 9, 2018
Let your fingers do the talking: Passive typing instability predicts future mood outcomesJonathan P Stange, John Zulueta, Scott A Langenecker, et al.
Brain and Behavior|October 6, 2021
Naturalistic smartphone keyboard typing reflects processing speed and executive functionMindy K Ross, Alexander P Demos, John Zulueta, et al.
Journal of Psychopathology and Clinical Science|September 4, 2025
Predicting cognitive functioning in mood disorders through smartphone typing dynamicsEmma Ning, Ryne Estabrook, Theja Tulabandhula, et al.
Frontiers in Psychiatry|January 10, 2022
The Effects of Bipolar Disorder Risk on a Mobile Phone Keystroke Dynamics Based Biomarker of Brain AgeJohn Zulueta, Alexander Pantelis Demos, Claudia Vesel, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
International Review of Psychiatry (Abingdon, England)|November 19, 2020
Beyond non-inferior: how telepsychiatry technologies can lead to superior careJohn Zulueta, Olusola A Ajilore
Focus (American Psychiatric Publishing)|November 9, 2020
Real-Time Monitoring: A Key Element in Personalized Health and Precision HealthJohn Zulueta, Alex D Leow, Olusola Ajilore
The American Journal of Bioethics : AJOB|September 18, 2020
How Obvious is Obvious? The Role of Technology in Public HealthJohn Zulueta, Bhrandon Harris, Eric S Swirsky
The American Journal of Bioethics : AJOB|June 21, 2021
Four Stages in Social Media Network Analysis-Building Blocks for Health-Related Digital Autonomy in Artificial Intelligence, Social Media, and DepressionCarol G Gu, Elizabeth Lerner Papautsky, Andrew D Boyd, et al.
BMC Medical Informatics and Decision Making|July 25, 2021
Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published modelsWilliam Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, et al.
Journal of Medical Internet Research|July 22, 2018
Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping StudyJohn Zulueta, Andrea Piscitello, Mladen Rasic, et al.
Bipolar Disorders|March 9, 2018
Let your fingers do the talking: Passive typing instability predicts future mood outcomesJonathan P Stange, John Zulueta, Scott A Langenecker, et al.
Brain and Behavior|October 6, 2021
Naturalistic smartphone keyboard typing reflects processing speed and executive functionMindy K Ross, Alexander P Demos, John Zulueta, et al.
Journal of Psychopathology and Clinical Science|September 4, 2025
Predicting cognitive functioning in mood disorders through smartphone typing dynamicsEmma Ning, Ryne Estabrook, Theja Tulabandhula, et al.
Frontiers in Psychiatry|January 10, 2022
The Effects of Bipolar Disorder Risk on a Mobile Phone Keystroke Dynamics Based Biomarker of Brain AgeJohn Zulueta, Alexander Pantelis Demos, Claudia Vesel, et al.
Pageof 2