A5060987154- Sleep and related disorders
- Advanced Technologies in Various Fields
- COVID-19 and Mental Health
- Obstructive Sleep Apnea Research
- Sleep and Work-Related Fatigue
- Neuroscience of respiration and sleep
- Health disparities and outcomes
- SARS-CoV-2 and COVID-19 Research
- Cancer survivorship and care
- Sepsis Diagnosis and Treatment
- COVID-19 diagnosis using AI
- COVID-19 Pandemic Impacts
- EEG and Brain-Computer Interfaces
- Respiratory Support and Mechanisms
- Digital Imaging for Blood Diseases
- Intensive Care Unit Cognitive Disorders
- Attachment and Relationship Dynamics
Guangzhou University
2023-2025
Second Affiliated Hospital of Fujian Medical University
2023
Fujian Medical University
2023
COVID-19 has been reported to affect the sleep quality of Chinese residents; however, epidemic's effects on college students during closed-loop management remain unclear, and a screening tool is lacking.This study aimed understand in Fujian Province epidemic determine sensitive variables, order develop an efficient prediction model for early problems students.From April 5 16, 2022, cross-sectional internet-based survey was conducted. The Pittsburgh Sleep Quality Index (PSQI) scale,...
Marital status is an independent prognostic factor for survival in many types of cancers, but its impact on patients with prostate cancer (PCa) has not been established. The aim this study was to explore the factors PCa and investigate effect marital outcomes different stratified by PCa. Using surveillance, epidemiology, end results (SEER) database, we collected data 584,655 diagnosed between 1975 2019. classified as married, divorced, widowed, single. We used Kaplan-Meier analysis single...
In March 2022, a new outbreak of COVID-19 emerged in Quanzhou, leading to the implementation strict lockdown management measures colleges. While existing research has indicated that pandemic had significant impact on sleep quality, specific effects containment college students' patterns remain understudied. This study aimed understand quality students Fujian Province during epidemic and determine sensitive variables, order develop an efficient prediction model for early screening problems...
Background The factors associated with sleep quality among medical personnel providing support on the frontline during height of COVID-19 pandemic remain unclear, and appropriate predictive screening tools are lacking. This study was designed conducted to investigate whether such as weight change, job title, tea consumption influence these workers. Additionally, aims develop models analyze problems experienced by healthcare workers periods epidemic instability, provide relevant data...
Age, gender, body mass index (BMI), and mean heart rate during sleep were found to be risk factors for obstructive apnea (OSA), a variety of methods have been applied predict the occurrence OSA. This study aimed develop evaluate OSA prediction models using simple accessible parameters, combined with multiple machine learning algorithms, integrate them into cloud-based mobile medicine management platform clinical use. The data obtained from records 610 patients who underwent polysomnography...
To develop a SARS-CoV-2 antigen detection management system for Chinese residents under community grid management, which is supported by "health information technology" and "neural network image recognition", so as to give full play the advantages of "grid management". This applied normalized prevention control COVID-19 epidemic. The model recognition algorithm was built based on deep learning convolution neural (CNN) artificial intelligence algorithm. improved Canny edge used monitor locate...
Background: The sleep quality of medical staff was severely affected during COVID-19, but the factors influencing frontline involved in assistance remained unclear, and screening tools for their were lacking. Methods: From June 25 to July 14, 2022, we conducted an Internet-based cross-sectional survey. Pittsburgh Sleep Quality Index (PSQI), a self-designed general information questionnaire, questionnaire regarding combined understand Fujian Province supporting Shanghai past month. A...
<sec> <title>BACKGROUND</title> COVID-19 has been reported to affect the sleep quality of Chinese residents; however, epidemic’s effects on college students during closed-loop management remain unclear, and a screening tool is lacking. </sec> <title>OBJECTIVE</title> This study aimed understand in Fujian Province epidemic determine sensitive variables, order develop an efficient prediction model for early problems students. <title>METHODS</title> From April 5 16, 2022, cross-sectional...
<sec> <title>UNSTRUCTURED</title> Background: Age, gender, body mass index (BMI), and mean heart rate during sleep were found to be risk factors for obstructive apnea (OSA), a variety of methods have been applied predict the occurrence OSA. Objective: This study aimed develop evaluate OSA prediction models using simple accessible parameters, combined with multiple machine learning algorithms, integrate them into cloud-based mobile medicine management platform clinical use. Methods: The data...
<sec> <title>UNSTRUCTURED</title> Background: The objective of this study was to address the prevalent issue sleep disturbance among college students, which can lead a range mental and physical disorders. identification potential predictors development an accurate prediction model are essential steps for early detection appropriate intervention in disturbances. However, previous studies have encountered notable limitations. Objective: This aimed provide fresh perspective by developing...