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Dmitry Scherbakov

Showing results (1-10 of 20) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|February 13, 2024
Stressful life events in electronic health records: a scoping reviewDmitry Scherbakov, Abolfazl Mollalo, Leslie Lenert
Research Square|October 27, 2023
Stressful life events in electronic health records: a scoping reviewDmitry Scherbakov, Abolfazl Mollalo, Leslie Lenert
Journal of the American Medical Informatics Association : JAMIA|May 7, 2025
The emergence of large language models as tools in literature reviews: a large language model-assisted systematic reviewDmitry Scherbakov, Nina Hubig, Vinita Jansari, et al.
Research Square|December 16, 2024
Application of Intersectionality Framework andArea-level Indicators in Machine Learning Analysisof Depression Disparities in All of Us ResearchProgram DataDmitry Scherbakov, Michael T Marrone, Leslie A Lenert, et al.
BMC Public Health|March 3, 2026
Application of intersectionality framework and area-level indicators in machine learning analysis of depression disparities in all of us research program dataDmitry Scherbakov, Michael T Marrone, Leslie A Lenert, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 23, 2025
Public HealthPaul Heider, Sara Knox, Stephanie Aghamoosa, et al.
Research Square|June 5, 2026
Nationwide Epic Cosmos Data Reveals Antidepressant Prescription Rate Trends Across Demographic GroupsDmitry Scherbakov, Brandy Davis, Jeffrey Korte, et al.
Research Square|May 25, 2026
Life Stressors in Young Americans are Linked via Asymmetric U-Shapes to Mental Health SeverityDmitry Scherbakov, Nina de Lacy, Olga Barg, et al.
Research Square|May 19, 2025
Clinical Significance of Marital Status and Changes in Status Extracted from Unstructured Clinical Notes Using Ensembles of Off-the-Shelf Extraction ModelsDmitry Scherbakov, Paul M Heider, Jihad S Obeid, et al.
Research Square|August 13, 2025
Using Real-World Data on Depression from EHR-based Research Networks: A Scoping ReviewYujia Sun, Dmitry Scherbakov, Gaylen Fronk, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Journal of the American Medical Informatics Association : JAMIA|February 13, 2024
Stressful life events in electronic health records: a scoping reviewDmitry Scherbakov, Abolfazl Mollalo, Leslie Lenert
Research Square|October 27, 2023
Stressful life events in electronic health records: a scoping reviewDmitry Scherbakov, Abolfazl Mollalo, Leslie Lenert
Journal of the American Medical Informatics Association : JAMIA|May 7, 2025
The emergence of large language models as tools in literature reviews: a large language model-assisted systematic reviewDmitry Scherbakov, Nina Hubig, Vinita Jansari, et al.
Research Square|December 16, 2024
Application of Intersectionality Framework andArea-level Indicators in Machine Learning Analysisof Depression Disparities in All of Us ResearchProgram DataDmitry Scherbakov, Michael T Marrone, Leslie A Lenert, et al.
BMC Public Health|March 3, 2026
Application of intersectionality framework and area-level indicators in machine learning analysis of depression disparities in all of us research program dataDmitry Scherbakov, Michael T Marrone, Leslie A Lenert, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 23, 2025
Public HealthPaul Heider, Sara Knox, Stephanie Aghamoosa, et al.
Research Square|June 5, 2026
Nationwide Epic Cosmos Data Reveals Antidepressant Prescription Rate Trends Across Demographic GroupsDmitry Scherbakov, Brandy Davis, Jeffrey Korte, et al.
Research Square|May 25, 2026
Life Stressors in Young Americans are Linked via Asymmetric U-Shapes to Mental Health SeverityDmitry Scherbakov, Nina de Lacy, Olga Barg, et al.
Research Square|May 19, 2025
Clinical Significance of Marital Status and Changes in Status Extracted from Unstructured Clinical Notes Using Ensembles of Off-the-Shelf Extraction ModelsDmitry Scherbakov, Paul M Heider, Jihad S Obeid, et al.
Research Square|August 13, 2025
Using Real-World Data on Depression from EHR-based Research Networks: A Scoping ReviewYujia Sun, Dmitry Scherbakov, Gaylen Fronk, et al.
Pageof 2