Huaguo Zhang
Biographic Data
| ID | 10015192 |
|---|---|
| NAME | Huaguo Zhang |
| GIVEN NAMES | Huaguo |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG H |
| AFFILIATIONS | Capital Medical University |
| ORCID | 0000-0002-5331-9926 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A human behavior-based model for respiratory infectious diseases prediction
Objectives: The research aims to develop a human behavior-based model to predict respiratory infectious diseases. Methods: This research employs semi-supervised machine learning techniques in conjunction with an RGB-depth camera to collect micro-level data. We employed computational fluid dynamics to simulate the dispersion of virus concentration in outpatient environments. Furthermore, we evaluated the infection risk of respiratory infectious di…
Association Between Fatigue and Falls Risk Among the Elderly Aged Over 75 Years in China: The Chain Mediating Role of Falls Efficacy and Lower Limb Function
Background Although fatigue has been shown to be strongly associated with falls risk, very few studies have focused on its mechanism involved in community-dwelling older subjects. The purpose of this study was to explore the relationship between fatigue and falls risk and its internal mechanism by constructing a chain mediation model. Methods A cross-sectional study design was adopted. A convenience sample of 270 older adults was recruited from J…
No prominent works on this page.
Association Between Fatigue and Falls Risk Among the Elderly Aged Over 75 Years in China: The Chain Mediating Role of Falls Efficacy and Lower Limb Function
Background Although fatigue has been shown to be strongly associated with falls risk, very few studies have focused on its mechanism involved in community-dwelling older subjects. The purpose of this study was to explore the relationship between fatigue and falls risk and its internal mechanism by constructing a chain mediation model. Methods A cross-sectional study design was adopted. A convenience sample of 270 older adults was recruited from J…
A human behavior-based model for respiratory infectious diseases prediction
Objectives: The research aims to develop a human behavior-based model to predict respiratory infectious diseases. Methods: This research employs semi-supervised machine learning techniques in conjunction with an RGB-depth camera to collect micro-level data. We employed computational fluid dynamics to simulate the dispersion of virus concentration in outpatient environments. Furthermore, we evaluated the infection risk of respiratory infectious di…
Medicine (2 works) · Balance, Gait, and Falls Prevention (1 works) · Computer Science (1 works) · COVID-19 epidemiological studies (1 works) · Cross-sectional study (1 works) · Environmental health (1 works) · Fibromyalgia and Chronic Fatigue Syndrome Research (1 works) · Infection Control and Ventilation (1 works) · Injury prevention (1 works) · Intensive care medicine (1 works)