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Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma

Scientific reports, 2021-05, Vol.11 (1), p.10303-10303, Article 10303

2021

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Breaking the silence: leveraging social interaction data to identify high-risk suicide users online using network analysis and machine learning

Scientific reports, 2024-08, Vol.14 (1), p.19395-12

2024

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Using passive sensor data to probe associations of social structure with changes in personality: A synthesis of network analysis and machine learning

PloS one, 2022-11, Vol.17 (11), p.e0277516-e0277516

2022

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Evaluating the Impact of Mask Mandates and Political Party Affiliation on Mental Health Internet Search Behavior in the United States During the COVID-19 Pandemic: Generalized Additive Mixed Model Framework

Journal of medical Internet research, 2023-03, Vol.25 (1), p.e40308-e40308

2023

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Association of COVID19-induced anosmia and ageusia with depression and suicidal ideation

Journal of affective disorders reports, 2021-07, Vol.5, p.100156-100156, Article 100156

2021

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Detecting Longitudinal Trends between Passively Collected Phone Use and Anxiety among College Students

Digital biomarkers, 2024-09, Vol.8 (1), p.181-193

2024

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Using the COVID-19 Pandemic to Assess the Influence of News Affect on Online Mental Health-Related Search Behavior Across the United States: Integrated Sentiment Analysis and the Circumplex Model of Affect

Journal of medical Internet research, 2022-01, Vol.24 (1), p.e32731-e32731

2022

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Predicting acute suicidal ideation on Instagram using ensemble machine learning models

Internet interventions : the application of information technology in mental and behavioural health, 2021-09, Vol.25, p.100424-100424, Article 100424

2021

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The hidden depths of suicidal discourse: Network analysis and natural language processing unmask uncensored expression

Digital health, 2023-01, Vol.9, p.20552076231210714-20552076231210714

2023

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Comparative evaluation of RNA-Seq library preparation methods for strand-specificity and low input

Scientific reports, 2019-09, Vol.9 (1), p.13477-10, Article 13477

2019

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Cold-Induced Browning of Inguinal White Adipose Tissue Is Independent of Adipose Tissue Cyclooxygenase-2

Cell reports (Cambridge), 2018-07, Vol.24 (4), p.809-814

2018

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Evaluating a mobile app's effects on depression and anxiety in medication-treated opioid use disorder

Npj mental health research, 2024-09, Vol.3 (1), p.43-14, Article 43

2024

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Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17–18 years

Journal of affective disorders, 2021-03, Vol.282, p.104-111

2021

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The circadian clock control of adipose tissue physiology and metabolism

Autonomic neuroscience, 2019-07, Vol.219, p.66-70

2019

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Using smartphone app use and lagged-ensemble machine learning for the prediction of work fatigue and boredom

Computers in human behavior, 2022-02, Vol.127, p.107029, Article 107029

2022

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Depression deconstructed: Wearables and passive digital phenotyping for analyzing individual symptoms

Behaviour research and therapy, 2023-09, Vol.168, p.104382-104382, Article 104382

2023

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Flattening the Mental Health Curve: COVID-19 Stay-at-Home Orders are Associated with Alterations in Mental Health Search Behavior in the United States

JMIR mental health, 2020-06, Vol.7 (6), p.e19347

2020

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Impact of online mental health screening tools on help-seeking, care receipt, and suicidal ideation and suicidal intent: Evidence from internet search behavior in a large U.S. cohort

Journal of psychiatric research, 2022-01, Vol.145, p.276-283

2022

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A machine learning investigation into the temporal dynamics of physical activity‐mediated emotional regulation in adolescents with anorexia nervosa and healthy controls

European eating disorders review, 2023-01, Vol.31 (1), p.147-165

2023

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Comparing Transdiagnostic Risk Factors: Predicting Emergence of Significant Depressive, Anxiety, and Substance Abuse Symptoms Among Juvenile Delinquents

Child psychiatry and human development, 2024-05

2024

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Digitally filling the access gap in mental health care: An investigation of the association between rurality and online engagement with validated self-report screens across the United States

Journal of psychiatric research, 2023-01, Vol.157, p.112-118

2023

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Predictive modeling of suicidal ideation in patients with epilepsy

Epilepsia (Copenhagen), 2022-09, Vol.63 (9), p.2269-2278

2022

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Dysregulated Emotion and Trying Substances in Childhood: Insights from a Large Nationally Representative Cohort Study

Substance use & misuse, 2023, Vol.58 (13), p.1625-1633

2023

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The trajectories of online mental health information seeking: Modeling search behavior before and after completion of self-report screens

Computers in human behavior, 2024-08, Vol.157, p.108267, Article 108267

2024

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The Application of Machine Learning to Online Mindfulness Intervention Data: a Primer and Empirical Example in Compliance Assessment

Mindfulness, 2021-10, Vol.12 (10), p.2519-2534

2021

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Using artificial intelligence and longitudinal location data to differentiate persons who develop posttraumatic stress disorder following childhood trauma

Breaking the silence: leveraging social interaction data to identify high-risk suicide users online using network analysis and machine learning

Using passive sensor data to probe associations of social structure with changes in personality: A synthesis of network analysis and machine learning

Evaluating the Impact of Mask Mandates and Political Party Affiliation on Mental Health Internet Search Behavior in the United States During the COVID-19 Pandemic: Generalized Additive Mixed Model Framework

Association of COVID19-induced anosmia and ageusia with depression and suicidal ideation

Detecting Longitudinal Trends between Passively Collected Phone Use and Anxiety among College Students

Using the COVID-19 Pandemic to Assess the Influence of News Affect on Online Mental Health-Related Search Behavior Across the United States: Integrated Sentiment Analysis and the Circumplex Model of Affect

Predicting acute suicidal ideation on Instagram using ensemble machine learning models

The hidden depths of suicidal discourse: Network analysis and natural language processing unmask uncensored expression

Comparative evaluation of RNA-Seq library preparation methods for strand-specificity and low input

Cold-Induced Browning of Inguinal White Adipose Tissue Is Independent of Adipose Tissue Cyclooxygenase-2

Evaluating a mobile app's effects on depression and anxiety in medication-treated opioid use disorder

Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17–18 years

The circadian clock control of adipose tissue physiology and metabolism

Using smartphone app use and lagged-ensemble machine learning for the prediction of work fatigue and boredom

Depression deconstructed: Wearables and passive digital phenotyping for analyzing individual symptoms

Flattening the Mental Health Curve: COVID-19 Stay-at-Home Orders are Associated with Alterations in Mental Health Search Behavior in the United States

Impact of online mental health screening tools on help-seeking, care receipt, and suicidal ideation and suicidal intent: Evidence from internet search behavior in a large U.S. cohort

A machine learning investigation into the temporal dynamics of physical activity‐mediated emotional regulation in adolescents with anorexia nervosa and healthy controls

Comparing Transdiagnostic Risk Factors: Predicting Emergence of Significant Depressive, Anxiety, and Substance Abuse Symptoms Among Juvenile Delinquents

Digitally filling the access gap in mental health care: An investigation of the association between rurality and online engagement with validated self-report screens across the United States

Predictive modeling of suicidal ideation in patients with epilepsy

Dysregulated Emotion and Trying Substances in Childhood: Insights from a Large Nationally Representative Cohort Study

The trajectories of online mental health information seeking: Modeling search behavior before and after completion of self-report screens

The Application of Machine Learning to Online Mindfulness Intervention Data: a Primer and Empirical Example in Compliance Assessment

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