Adrienne Grzenda
Biographic Data
| ID | 7375741 |
|---|---|
| NAME | Adrienne Grzenda |
| GIVEN NAMES | Adrienne |
| FAMILY NAME | Grzenda |
| SIGNATURE | GRZENDA A |
| AFFILIATIONS | American Psychiatric Association |
| ORCID | 0000-0001-5952-6953 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Machine Learning Prediction of Treatment Outcome in Late-Life Depression
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
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…
No prominent works on this page.
Machine Learning Prediction of Treatment Outcome in Late-Life Depression
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
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 works) · Medicine (2 works) · Anxiety (1 works) · Artificial Intelligence (1 works) · Bonferroni correction (1 works) · Computer Science (1 works) · Confidence interval (1 works) · Dementia and Cognitive Impairment Research (1 works) · Depression (economics (1 works) · Employment and Welfare Studies (1 works)