Detecting adolescent depression through passive monitoring of linguistic markers in smartphone communication
Background Cross sectional studies have identified linguistic correlates of major depressive
disorder (MDD) in smartphone communication. However, it is unclear whether monitoring …
disorder (MDD) in smartphone communication. However, it is unclear whether monitoring …
Intensive longitudinal assessment of adolescents to predict suicidal thoughts and behaviors
Objective Suicide is a leading cause of death among adolescents. However, there are no
clinical tools to detect proximal risk for suicide. Method Participants included 13-to 18-year …
clinical tools to detect proximal risk for suicide. Method Participants included 13-to 18-year …
Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises
Transferring and replicating predictive algorithms across healthcare systems constitutes a
unique yet crucial challenge that needs to be addressed to enable the widespread adoption …
unique yet crucial challenge that needs to be addressed to enable the widespread adoption …
Identifying factors impacting missingness within smartphone-based research: Implications for intensive longitudinal studies of adolescent suicidal thoughts and …
Intensive longitudinal research—including experience sampling and smartphone sensor
monitoring—has potential for identifying proximal risk factors for psychopathology, including …
monitoring—has potential for identifying proximal risk factors for psychopathology, including …
Using Smartphone GPS Data to Detect the Risk of Adolescent Suicidal Thoughts and Behaviors
Importance Suicide rates among adolescents continue to rise, but there are a lack of clinical
tools to predict when youths may be at risk for suicidal behaviors. Objective To identify …
tools to predict when youths may be at risk for suicidal behaviors. Objective To identify …
Neural mixed effects for nonlinear personalized predictions
Personalized prediction is a machine learning approach that predicts a person's future
observations based on their past labeled observations and is typically used for sequential …
observations based on their past labeled observations and is typically used for sequential …
The effects of family support and smartphone-derived homestay on daily mood and depression among sexual and gender minority adolescents.
Sexual and gender minority (SGM) adolescents are at elevated risk for depression. This risk
is especially pronounced among adolescents whose home environment is unsupportive or …
is especially pronounced among adolescents whose home environment is unsupportive or …
Activity space during treatment with medication for opioid use disorder: Relationships with personality, mood, and drug use
Introduction Activity space in people with substance use disorders (SUDs) has been
assessed for theoretical reasons and for detection/prevention of relapse. In this …
assessed for theoretical reasons and for detection/prevention of relapse. In this …
Protecting Protectors: Smartphone-Based Cognitive Behavioral Therapy for Mental Health in the Chinese Police.
H Zou, Z Zhang, P Chen - International Journal of Mental …, 2024 - search.ebscohost.com
Background: The mental health challenges faced by police officers due to high-stress work
environments necessitate effective interventions. Cognitive-behavioral therapy (CBT) has …
environments necessitate effective interventions. Cognitive-behavioral therapy (CBT) has …
[PDF][PDF] Towards Improving Transparency in Multimodal Affect Perception
T Wörtwein - 2023 - lti.cs.cmu.edu
Affective computing has emerged as a core research topic in artificial intelligence (AI) with
broad applications in healthcare. For example, affective technologies can be used as a …
broad applications in healthcare. For example, affective technologies can be used as a …