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Adrienne Grzenda

Datos Biográficos

ID7375741
NOMBREAdrienne Grzenda
NOMBRESAdrienne
APELLIDOGrzenda
FIRMAGRZENDA A
AFILIACIONESAmerican Psychiatric Association
ORCID0000-0001-5952-6953
VERIFICADOSí
TOTAL DE OBRAS2
TOTAL DE CITAS0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H0
  • Machine Learning Prediction of Treatment Outcome in Late-Life Depression

    Open Access•Adrienne Grzenda, William Speier et al.•ARTICLE•Frontiers in Psychiatry•2021

    Background: Recent evidence suggests that integration of multi-modal data improves performance in machine learning prediction of depression treatment outcomes. Here, we compared the predictive performance of three machine learning classifiers using differing combinations of sociodemographic characteristics, baseline clinical self-reports, cognitive tests, and structural magnetic resonance imaging (MRI) features to predict treatment outcomes in la…

  • An Ecological Study of a Universal Employee Depression Awareness and Stigma Reduction Intervention

    Open Access•Benjamin Doty, Adrienne Grzenda et al.•ARTICLE•Frontiers in Psychiatry•2021

    Objective: Right Direction (RD) was a component of a universal employee wellness program implemented in 2014 at Kent State University (KSU) to increase employees' awareness of depression, reduce mental health stigma, and encourage help-seeking behaviors to promote mental health. We explored changes in mental health care utilization before and after implementation of RD. Methods: KSU Human Resources census and service use data were used to identif…

Sin obras prominentes en esta página.

  • Machine Learning Prediction of Treatment Outcome in Late-Life Depression

    Open Access•Adrienne Grzenda, William Speier et al.•ARTICLE•Frontiers in Psychiatry•2021

    Background: Recent evidence suggests that integration of multi-modal data improves performance in machine learning prediction of depression treatment outcomes. Here, we compared the predictive performance of three machine learning classifiers using differing combinations of sociodemographic characteristics, baseline clinical self-reports, cognitive tests, and structural magnetic resonance imaging (MRI) features to predict treatment outcomes in la…

  • An Ecological Study of a Universal Employee Depression Awareness and Stigma Reduction Intervention

    Open Access•Benjamin Doty, Adrienne Grzenda et al.•ARTICLE•Frontiers in Psychiatry•2021

    Objective: Right Direction (RD) was a component of a universal employee wellness program implemented in 2014 at Kent State University (KSU) to increase employees' awareness of depression, reduce mental health stigma, and encourage help-seeking behaviors to promote mental health. We explored changes in mental health care utilization before and after implementation of RD. Methods: KSU Human Resources census and service use data were used to identif…

Logistic regression (2 obras) · Medicine (2 obras) · Anxiety (1 obras) · Artificial Intelligence (1 obras) · Bonferroni correction (1 obras) · Computer Science (1 obras) · Confidence interval (1 obras) · Dementia and Cognitive Impairment Research (1 obras) · Depression (economics (1 obras) · Employment and Welfare Studies (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae