Ziwei Cui
Biographic Data
| ID | 10029640 |
|---|---|
| NAME | Ziwei Cui |
| GIVEN NAMES | Ziwei |
| FAMILY NAME | Cui |
| SIGNATURE | CUI Z |
| AFFILIATIONS | Sun Yat-sen University |
| ORCID | 0000-0001-7427-829X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Construction of a prediction model for sarcopenic obesity based on machine learning
Background: In the context of the rapidly aging global population, sarcopenic obesity (SO) in older adults is associated with significantly higher rates of disability and mortality. SO has become a serious and critical public health concern. This study aimed to develop and validate predictive models using machine learning (ML) to identify SO in patients. Methods: Data from 386 participants collected at the Affiliated Hospital of Qingdao Universit…
Impact of Indoor Mobility Behavior on the Respiratory Infectious Diseases Transmission Trends
Indoor human mobility plays a crucial role in the transmission of respiratory infectious diseases. Previous studies have predominantly addressed a single type or a series of behaviors in specific scenarios, neglecting the abstraction of mobility behavior in various scenes and how these abstracted behaviors impact disease propagation. To address these problems, this study abstracts mobility behaviors in a general scenario into two main categories:…
No prominent works on this page.
Impact of Indoor Mobility Behavior on the Respiratory Infectious Diseases Transmission Trends
Indoor human mobility plays a crucial role in the transmission of respiratory infectious diseases. Previous studies have predominantly addressed a single type or a series of behaviors in specific scenarios, neglecting the abstraction of mobility behavior in various scenes and how these abstracted behaviors impact disease propagation. To address these problems, this study abstracts mobility behaviors in a general scenario into two main categories:…
Construction of a prediction model for sarcopenic obesity based on machine learning
Background: In the context of the rapidly aging global population, sarcopenic obesity (SO) in older adults is associated with significantly higher rates of disability and mortality. SO has become a serious and critical public health concern. This study aimed to develop and validate predictive models using machine learning (ML) to identify SO in patients. Methods: Data from 386 participants collected at the Affiliated Hospital of Qingdao Universit…
Computer Science (2 works) · Environmental health (2 works) · Medicine (2 works) · Artificial Intelligence (1 work) · Body Composition Measurement Techniques (1 work) · Body mass index (1 work) · Cardiovascular Function and Risk Factors (1 work) · COVID-19 epidemiological studies (1 work) · Decision tree (1 work) · Geography (1 work)