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Nicholas C Jacobson

Showing results (41-50 of 129) with videos related to

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Emotion (Washington, D.C.)|September 1, 2022
A psychological flexibility perspective on well-being: Emotional reactivity, adaptive choices, and daily experiencesRobert J Klein, Nicholas C Jacobson, Michael D Robinson
Journal of Medical Internet Research|February 3, 2023
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 FrameworkJoseph A Gyorda, Damien Lekkas, George Price, et al.
Journal of Affective Disorders|August 4, 2023
Using machine learning to forecast symptom changes among subclinical depression patients receiving stepped care or usual careBruno T Scodari, Sarah Chacko, Rina Matsumura, et al.
The International Journal of Eating Disorders|May 3, 2025
From Skepticism to Support: Addressing Clinician and Patient Concerns About AI in Eating Disorder CareNicholas C Jacobson, Elizabeth W Lampe, Ellen E Fitzsimmons-Craft
Scientific Reports|January 22, 2021
Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligenceMatthew D Nemesure, Michael V Heinz, Raphael Huang, et al.
Plos One|November 30, 2022
Using passive sensor data to probe associations of social structure with changes in personality: A synthesis of network analysis and machine learningDamien Lekkas, Joseph A Gyorda, Erika L Moen, et al.
Behaviour Research and Therapy|August 6, 2023
Depression deconstructed: Wearables and passive digital phenotyping for analyzing individual symptomsDamien Lekkas, Joseph A Gyorda, George D Price, et al.
Journal of Affective Disorders|September 27, 2022
Applying ensemble machine learning models to predict individual response to a digitally delivered worry postponement interventionJoseph A Gyorda, Matthew D Nemesure, George Price, et al.
Child Psychiatry and Human Development|May 23, 2024
Comparing Transdiagnostic Risk Factors: Predicting Emergence of Significant Depressive, Anxiety, and Substance Abuse Symptoms Among Juvenile DelinquentsRobert J Klein, Damien Lekkas, Nhi D Nguyen, et al.
Substance Use & Misuse|August 12, 2023
Dysregulated Emotion and Trying Substances in Childhood: Insights from a Large Nationally Representative Cohort StudyRobert J Klein, Joseph A Gyorda, Damien Lekkas, et al.
Pageof 13

Showing results (41-50 of 129) with videos related to

Sort By:
Pageof 13
Emotion (Washington, D.C.)|September 1, 2022
A psychological flexibility perspective on well-being: Emotional reactivity, adaptive choices, and daily experiencesRobert J Klein, Nicholas C Jacobson, Michael D Robinson
Journal of Medical Internet Research|February 3, 2023
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 FrameworkJoseph A Gyorda, Damien Lekkas, George Price, et al.
Journal of Affective Disorders|August 4, 2023
Using machine learning to forecast symptom changes among subclinical depression patients receiving stepped care or usual careBruno T Scodari, Sarah Chacko, Rina Matsumura, et al.
The International Journal of Eating Disorders|May 3, 2025
From Skepticism to Support: Addressing Clinician and Patient Concerns About AI in Eating Disorder CareNicholas C Jacobson, Elizabeth W Lampe, Ellen E Fitzsimmons-Craft
Scientific Reports|January 22, 2021
Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligenceMatthew D Nemesure, Michael V Heinz, Raphael Huang, et al.
Plos One|November 30, 2022
Using passive sensor data to probe associations of social structure with changes in personality: A synthesis of network analysis and machine learningDamien Lekkas, Joseph A Gyorda, Erika L Moen, et al.
Behaviour Research and Therapy|August 6, 2023
Depression deconstructed: Wearables and passive digital phenotyping for analyzing individual symptomsDamien Lekkas, Joseph A Gyorda, George D Price, et al.
Journal of Affective Disorders|September 27, 2022
Applying ensemble machine learning models to predict individual response to a digitally delivered worry postponement interventionJoseph A Gyorda, Matthew D Nemesure, George Price, et al.
Child Psychiatry and Human Development|May 23, 2024
Comparing Transdiagnostic Risk Factors: Predicting Emergence of Significant Depressive, Anxiety, and Substance Abuse Symptoms Among Juvenile DelinquentsRobert J Klein, Damien Lekkas, Nhi D Nguyen, et al.
Substance Use & Misuse|August 12, 2023
Dysregulated Emotion and Trying Substances in Childhood: Insights from a Large Nationally Representative Cohort StudyRobert J Klein, Joseph A Gyorda, Damien Lekkas, et al.
Pageof 13