Zechen Wang
Biographic Data
| ID | 8300934 |
|---|---|
| NAME | Zechen Wang |
| GIVEN NAMES | Zechen |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Z |
| AFFILIATIONS | Faculty of Geographical Science and Engineering Henan University Zhengzhou China |
| ORCID | 0000-0002-9614-3991 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Developing Ecological Security Pattern Based on Clustering Algorithm and Interpretable Machine Learning
Worsening ecological security crises, driven by human activities and rapid urbanization, require more effective ecological security patterns (ESP). Traditional ESP construction relies on multi‐factor overlay analysis and subjective weighting for source identification and resistance surface construction, introducing homogenization bias and failing to capture nonlinear ecological relationships. Moreover, previous studies typically improved individu…
Factors associated with unplanned readmissions for patients with mental and behavioural disorders in China
BACKGROUND: Unplanned readmissions among patients with mental and behavioural disorders (MBDs) disrupt inpatient recovery and impose financial burdens on families and healthcare systems. OBJECTIVES: To estimate the 31-day unplanned inpatient readmission rates for MBDs in China and identify determinant profiles from the perspective of individual, hospital, and contextual levels. METHODS: Data from patients with MBDs were collected from the medical…
No prominent works on this page.
Factors associated with unplanned readmissions for patients with mental and behavioural disorders in China
BACKGROUND: Unplanned readmissions among patients with mental and behavioural disorders (MBDs) disrupt inpatient recovery and impose financial burdens on families and healthcare systems. OBJECTIVES: To estimate the 31-day unplanned inpatient readmission rates for MBDs in China and identify determinant profiles from the perspective of individual, hospital, and contextual levels. METHODS: Data from patients with MBDs were collected from the medical…
Developing Ecological Security Pattern Based on Clustering Algorithm and Interpretable Machine Learning
Worsening ecological security crises, driven by human activities and rapid urbanization, require more effective ecological security patterns (ESP). Traditional ESP construction relies on multi‐factor overlay analysis and subjective weighting for source identification and resistance surface construction, introducing homogenization bias and failing to capture nonlinear ecological relationships. Moreover, previous studies typically improved individu…
China (1 work) · Cluster analysis (1 work) · Ecological systems theory (1 work) · Ecosystem dynamics and resilience (1 work) · Environmental health (1 work) · Geography (1 work) · Healthcare Decision-Making and Restraints (1 work) · Heart Failure Treatment and Management (1 work) · Interpretability (1 work) · Land Use and Ecosystem Services (1 work)