Search research articles
Contact Us
Filters
Showing results (1-10 of 39) with videos related to
Page
of 4
Sort By:
Scientific Reports
|
August 21, 2024
Breaking the silence: leveraging social interaction data to identify high-risk suicide users online using network analysis and machine learning
Damien Lekkas, Nicholas C Jacobson
Autonomic Neuroscience : Basic & Clinical
|
May 25, 2019
The circadian clock control of adipose tissue physiology and metabolism
Damien Lekkas, Georgios K Paschos
Scientific Reports
|
May 14, 2021
Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma
Damien Lekkas, Nicholas C Jacobson
Digital Health
|
November 6, 2023
The hidden depths of suicidal discourse: Network analysis and natural language processing unmask uncensored expression
Damien Lekkas, Nicholas C Jacobson
Computers in Human Behavior
|
November 15, 2021
Using Smartphone App Use and Lagged-Ensemble Machine Learning for the Prediction of Work Fatigue and Boredom
Damien Lekkas, George D Price, Nicholas C Jacobson
European Eating Disorders Review : the Journal of the Eating Disorders Association
|
August 25, 2022
A machine learning investigation into the temporal dynamics of physical activity-mediated emotional regulation in adolescents with anorexia nervosa and healthy controls
Damien Lekkas, Joseph A Gyorda, Nicholas C Jacobson
Journal of Affective Disorders Reports
|
June 2, 2021
Association of COVID19-induced anosmia and ageusia with depression and suicidal ideation
Elad Yom-Tov, Damien Lekkas, Nicholas C Jacobson
Internet Interventions
|
August 17, 2021
Predicting acute suicidal ideation on Instagram using ensemble machine learning models
Damien Lekkas, Robert J Klein, Nicholas C Jacobson
Digital Biomarkers
|
October 30, 2024
Detecting Longitudinal Trends between Passively Collected Phone Use and Anxiety among College Students
Joseph A Gyorda, Damien Lekkas, Nicholas C Jacobson
Journal of Affective Disorders
|
January 5, 2021
Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17-18 years
Nicholas C Jacobson, Damien Lekkas, Raphael Huang, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 39) with videos related to
Sort By:
Page
of 4
Scientific Reports
|
August 21, 2024
Breaking the silence: leveraging social interaction data to identify high-risk suicide users online using network analysis and machine learning
Damien Lekkas, Nicholas C Jacobson
Autonomic Neuroscience : Basic & Clinical
|
May 25, 2019
The circadian clock control of adipose tissue physiology and metabolism
Damien Lekkas, Georgios K Paschos
Scientific Reports
|
May 14, 2021
Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma
Damien Lekkas, Nicholas C Jacobson
Digital Health
|
November 6, 2023
The hidden depths of suicidal discourse: Network analysis and natural language processing unmask uncensored expression
Damien Lekkas, Nicholas C Jacobson
Computers in Human Behavior
|
November 15, 2021
Using Smartphone App Use and Lagged-Ensemble Machine Learning for the Prediction of Work Fatigue and Boredom
Damien Lekkas, George D Price, Nicholas C Jacobson
European Eating Disorders Review : the Journal of the Eating Disorders Association
|
August 25, 2022
A machine learning investigation into the temporal dynamics of physical activity-mediated emotional regulation in adolescents with anorexia nervosa and healthy controls
Damien Lekkas, Joseph A Gyorda, Nicholas C Jacobson
Journal of Affective Disorders Reports
|
June 2, 2021
Association of COVID19-induced anosmia and ageusia with depression and suicidal ideation
Elad Yom-Tov, Damien Lekkas, Nicholas C Jacobson
Internet Interventions
|
August 17, 2021
Predicting acute suicidal ideation on Instagram using ensemble machine learning models
Damien Lekkas, Robert J Klein, Nicholas C Jacobson
Digital Biomarkers
|
October 30, 2024
Detecting Longitudinal Trends between Passively Collected Phone Use and Anxiety among College Students
Joseph A Gyorda, Damien Lekkas, Nicholas C Jacobson
Journal of Affective Disorders
|
January 5, 2021
Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17-18 years
Nicholas C Jacobson, Damien Lekkas, Raphael Huang, et al.
Page
of 4