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Michael V Heinz

Showing results (1-10 of 32) with videos related to

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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.
Psychiatry Research|January 9, 2024
Detecting major depressive disorder presence using passively-collected wearable movement data in a nationally-representative sampleGeorge D Price, Michael V Heinz, Amanda C Collins, et al.
Frontiers in Psychiatry|August 29, 2022
Predicting symptom response and engagement in a digital intervention among individuals with schizophrenia and related psychosesGeorge D Price, Michael V Heinz, Matthew D Nemesure, et al.
Journal of Psychiatric Research|August 20, 2024
A large-scale observational comparison of antidepressants and their effectsMichael V Heinz, Elad Yom-Tov, Daniel M Mackin, et al.
Translational Psychiatry|December 9, 2023
Using digital phenotyping to capture depression symptom variability: detecting naturalistic variability in depression symptoms across one year using passively collected wearable movement and sleep dataGeorge D Price, Michael V Heinz, Seo Ho Song, et al.
Journal of Affective Disorders|August 14, 2022
An unsupervised machine learning approach using passive movement data to understand depression and schizophreniaGeorge D Price, Michael V Heinz, Daniel Zhao, et al.
Journal of Psychiatric Research|October 2, 2025
ChatGPT as therapy: A qualitative and network-based thematic profiling of shared experiences, attitudes, and beliefs on RedditAmanda C Collins, Damien Lekkas, Michael V Heinz, et al.
Journal of Psychopathology and Clinical Science|October 21, 2024
Use of passively collected actigraphy data to detect individual depressive symptoms in a clinical subpopulation and a general populationGeorge D Price, Amanda C Collins, Daniel M Mackin, et al.
Npj Mental Health Research|September 30, 2024
Evaluating a mobile app's effects on depression and anxiety in medication-treated opioid use disorderMichael V Heinz, Damien Lekkas, Veronica Abreu, et al.
Journal of Affective Disorders|March 1, 2023
Leveraging deep learning models to understand the daily experience of anxiety in teenagers over the course of a yearBrian Wang, Matthew D Nemesure, Chloe Park, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
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.
Psychiatry Research|January 9, 2024
Detecting major depressive disorder presence using passively-collected wearable movement data in a nationally-representative sampleGeorge D Price, Michael V Heinz, Amanda C Collins, et al.
Frontiers in Psychiatry|August 29, 2022
Predicting symptom response and engagement in a digital intervention among individuals with schizophrenia and related psychosesGeorge D Price, Michael V Heinz, Matthew D Nemesure, et al.
Journal of Psychiatric Research|August 20, 2024
A large-scale observational comparison of antidepressants and their effectsMichael V Heinz, Elad Yom-Tov, Daniel M Mackin, et al.
Translational Psychiatry|December 9, 2023
Using digital phenotyping to capture depression symptom variability: detecting naturalistic variability in depression symptoms across one year using passively collected wearable movement and sleep dataGeorge D Price, Michael V Heinz, Seo Ho Song, et al.
Journal of Affective Disorders|August 14, 2022
An unsupervised machine learning approach using passive movement data to understand depression and schizophreniaGeorge D Price, Michael V Heinz, Daniel Zhao, et al.
Journal of Psychiatric Research|October 2, 2025
ChatGPT as therapy: A qualitative and network-based thematic profiling of shared experiences, attitudes, and beliefs on RedditAmanda C Collins, Damien Lekkas, Michael V Heinz, et al.
Journal of Psychopathology and Clinical Science|October 21, 2024
Use of passively collected actigraphy data to detect individual depressive symptoms in a clinical subpopulation and a general populationGeorge D Price, Amanda C Collins, Daniel M Mackin, et al.
Npj Mental Health Research|September 30, 2024
Evaluating a mobile app's effects on depression and anxiety in medication-treated opioid use disorderMichael V Heinz, Damien Lekkas, Veronica Abreu, et al.
Journal of Affective Disorders|March 1, 2023
Leveraging deep learning models to understand the daily experience of anxiety in teenagers over the course of a yearBrian Wang, Matthew D Nemesure, Chloe Park, et al.
Pageof 4