Shengxun Qiu
Biographic Data
| ID | 10033439 |
|---|---|
| NAME | Shengxun Qiu |
| GIVEN NAMES | Shengxun |
| FAMILY NAME | Qiu |
| SIGNATURE | QIU S |
| AFFILIATIONS | Fujian Medical University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Prediction models for sleep quality among frontline medical personnel during the Covid-19 pandemic
Background The factors associated with sleep quality among medical personnel providing support on the frontline during the height of the COVID-19 pandemic remain unclear, and appropriate predictive and screening tools are lacking. This study was designed and conducted to investigate whether factors such as weight change, job title, and tea consumption influence the sleep quality of these workers. Additionally, the study aims to develop predictive…
Evaluation of sleep quality and influencing factors among medical and non-medical students using machine learning techniques in Fujian during the public health emergencies
Non-medical students faced more factors affecting their sleep quality. The validated prediction models provide accurate estimations of sleep disorders in college students, offering valuable insights for campus management
No prominent works on this page.
Prediction models for sleep quality among frontline medical personnel during the Covid-19 pandemic
Background The factors associated with sleep quality among medical personnel providing support on the frontline during the height of the COVID-19 pandemic remain unclear, and appropriate predictive and screening tools are lacking. This study was designed and conducted to investigate whether factors such as weight change, job title, and tea consumption influence the sleep quality of these workers. Additionally, the study aims to develop predictive…
Evaluation of sleep quality and influencing factors among medical and non-medical students using machine learning techniques in Fujian during the public health emergencies
Non-medical students faced more factors affecting their sleep quality. The validated prediction models provide accurate estimations of sleep disorders in college students, offering valuable insights for campus management
Medicine (2 works) · Psychiatry (2 works) · Sleep and related disorders (2 works) · Applied Psychology (1 work) · Applied Psychology (1 work) · Cognition (1 work) · Computer Science (1 work) · COVID-19 and Mental Health (1 work) · Cross-sectional study (1 work) · Heart Rate Variability and Autonomic Control (1 work)