Zejie Zhang
Biographic Data
| ID | 8236929 |
|---|---|
| NAME | Zejie Zhang |
| GIVEN NAMES | Zejie |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG Z |
| AFFILIATIONS | Wenzhou Institute of Technology Testing & Calibration |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The relationship between HIV infection and depression and their determinants in the MSM population in Eastern China
The prevalence of depression is high in the MSM population. Marital status, age and employment status are influential factors for depression in the MSM population. Decision tree modelling combined with logistic regression could be considered as an assessment tool for the relationship between HIV infection and depression and their correlates in the MSM population
Construction and validation of machine learning algorithm for predicting depression among home-quarantined individuals during the large-scale Covid-19 outbreak
Objectives COVID-19 epidemics often lead to elevated levels of depression. To accurately identify and predict depression levels in home-quarantined individuals during a COVID-19 epidemic, this study constructed a depression prediction model based on multiple machine learning algorithms and validated its effectiveness. Methods A cross-sectional method was used to examine the depression status of individuals quarantined at home during the epidemic …
No prominent works on this page.
Construction and validation of machine learning algorithm for predicting depression among home-quarantined individuals during the large-scale Covid-19 outbreak
Objectives COVID-19 epidemics often lead to elevated levels of depression. To accurately identify and predict depression levels in home-quarantined individuals during a COVID-19 epidemic, this study constructed a depression prediction model based on multiple machine learning algorithms and validated its effectiveness. Methods A cross-sectional method was used to examine the depression status of individuals quarantined at home during the epidemic …
The relationship between HIV infection and depression and their determinants in the MSM population in Eastern China
The prevalence of depression is high in the MSM population. Marital status, age and employment status are influential factors for depression in the MSM population. Decision tree modelling combined with logistic regression could be considered as an assessment tool for the relationship between HIV infection and depression and their correlates in the MSM population
Depression (economics (2 works) · AdaBoost (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · COVID-19 and Mental Health (1 work) · Cross-validation (1 work) · Decision tree (1 work) · Digital Mental Health Interventions (1 work) · HIV Research and Treatment (1 work)