Hongshi Zhang
Biographic Data
| ID | 7752994 |
|---|---|
| NAME | Hongshi Zhang |
| GIVEN NAMES | Hongshi |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG H |
| AFFILIATIONS | Changchun University of Chinese Medicine |
| ORCID | 0000-0002-5124-5628 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Exploration and analysis of the application of the internet of things in nursing education in the 5G era
BACKGROUND: Nursing education is of great significance for cultivating high-quality nursing professionals. The introduction of Internet of Things (IoT) technology can create new opportunities for the development of nursing education. This study aims to explore the application value, application models, main challenges, and future development directions of IoT technology in nursing education in the 5G era, and to put forward corresponding suggesti…
Physical activity for insomnia
Background: Physical activity (PA) is an established non-pharmacological intervention for insomnia; however, its clinical application remains largely non-personalized. The Nursing Science Precision Health (NSPH) model provides a structured framework to link symptom patterns, phenotypes, and biological mechanisms with tailored interventions. Objective: To map and synthesize evidence on PA interventions for insomnia within the NSPH model, and to id…
Development and validation of a decision tree model for prediction of insomnia risk among ischemic stroke convalescence patients
This model demonstrates promise in forecasting insomnia among ISC patients. Anxiety and social support emerged as the most influential predictors, with fatigue, depression, BMI, and stroke severity collectively offering a comprehensive outlook for anticipating post-stroke insomnia. These results have implications for informing future strategies in managing insomnia. The model's applicability is moderately robust, necessitating additional refineme…
No prominent works on this page.
Development and validation of a decision tree model for prediction of insomnia risk among ischemic stroke convalescence patients
This model demonstrates promise in forecasting insomnia among ISC patients. Anxiety and social support emerged as the most influential predictors, with fatigue, depression, BMI, and stroke severity collectively offering a comprehensive outlook for anticipating post-stroke insomnia. These results have implications for informing future strategies in managing insomnia. The model's applicability is moderately robust, necessitating additional refineme…
Exploration and analysis of the application of the internet of things in nursing education in the 5G era
BACKGROUND: Nursing education is of great significance for cultivating high-quality nursing professionals. The introduction of Internet of Things (IoT) technology can create new opportunities for the development of nursing education. This study aims to explore the application value, application models, main challenges, and future development directions of IoT technology in nursing education in the 5G era, and to put forward corresponding suggesti…
Physical activity for insomnia
Background: Physical activity (PA) is an established non-pharmacological intervention for insomnia; however, its clinical application remains largely non-personalized. The Nursing Science Precision Health (NSPH) model provides a structured framework to link symptom patterns, phenotypes, and biological mechanisms with tailored interventions. Objective: To map and synthesize evidence on PA interventions for insomnia within the NSPH model, and to id…
Sleep and related disorders (2 works) · Actigraphy (1 work) · Advanced Technologies and Applied Computing (1 work) · Advanced Technologies in Various Fields (1 work) · Behavioural sciences (1 work) · Biostatistics (1 work) · Convalescence (1 work) · Data mining (1 work) · Decision tree (1 work) · Emergency Medicine (1 work)