Qiqi Ji
Biographic Data
| ID | 7969894 |
|---|---|
| NAME | Qiqi Ji |
| GIVEN NAMES | Qiqi |
| FAMILY NAME | Ji |
| SIGNATURE | JI Q |
| AFFILIATIONS | Jinzhou Medical University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The relationship between stigma and quality of life in hospitalized middle-aged and elderly patients with chronic diseases
Depression mediates the relationship between stigma and quality of life, while psychological elasticity plays a moderating role between stigma and depression, and when the level of psychological elasticity increases, the more significant the role of stigma on depression. As a physiologically and psychologically vulnerable group, patients with chronic diseases' overall quality of life and mental health should be taken more seriously, and clinical …
Construction of a machine learning-based risk prediction model for depression in middle-aged and elderly hypertensive people in China
The prediction model based on machine learning can accurately assess the likelihood of depression in middle-aged and elderly patients with hypertension in the next three years. And by combining Logistic regression and nomograms, we were able to provide a clear interpretation of personalized risk predictions
No prominent works on this page.
The relationship between stigma and quality of life in hospitalized middle-aged and elderly patients with chronic diseases
Depression mediates the relationship between stigma and quality of life, while psychological elasticity plays a moderating role between stigma and depression, and when the level of psychological elasticity increases, the more significant the role of stigma on depression. As a physiologically and psychologically vulnerable group, patients with chronic diseases' overall quality of life and mental health should be taken more seriously, and clinical …
Construction of a machine learning-based risk prediction model for depression in middle-aged and elderly hypertensive people in China
The prediction model based on machine learning can accurately assess the likelihood of depression in middle-aged and elderly patients with hypertension in the next three years. And by combining Logistic regression and nomograms, we were able to provide a clear interpretation of personalized risk predictions
Depression (economics (2 works) · Medicine (2 works) · Psychiatry (2 works) · Psychology (2 works) · Anxiety (1 work) · Cardiac Health and Mental Health (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Computer Science (1 work) · Employment and Welfare Studies (1 work)