Zhe Meng
Biographic Data
| ID | 6031001 |
|---|---|
| NAME | Zhe Meng |
| GIVEN NAMES | Zhe |
| FAMILY NAME | Meng |
| SIGNATURE | MENG Z |
| AFFILIATIONS | Changchun University of Chinese Medicine |
| ORCID | 0009-0005-0523-7968 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Relationship between 24-h movement behaviors and frailty—a scoping review
Background: Frailty is associated with increased risks of falls, disability, hospitalization, and mortality. The 24-h movement behaviors (24HMB) framework conceptualizes sleep, sedentary behavior (SB), light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) as mutually constrained components of daily time use and may inform frailty prevention and management. Objective: This scoping review maps evidence on associ…
Tirpnet: Risk prediction of traditional Chinese medicine ingredients based on a deep neural network
Screening of potential biomarkers in peripheral blood of patients with depression based on weighted gene co-expression network analysis and machine learning algorithms
The genes S100A12, TIGIT, SERPINB2, GRB10, and LHFPL2 in peripheral serum are viable diagnostic biomarkers for depression. and contribute to the diagnosis and prevention of depression in clinical practice
Body-worn cameras and arrest: Zooming in on disaggregated metrics and possible unintended consequences
Body-worn cameras and arrest: Zooming in on disaggregated metrics and possible unintended consequences
Screening of potential biomarkers in peripheral blood of patients with depression based on weighted gene co-expression network analysis and machine learning algorithms
The genes S100A12, TIGIT, SERPINB2, GRB10, and LHFPL2 in peripheral serum are viable diagnostic biomarkers for depression. and contribute to the diagnosis and prevention of depression in clinical practice
Tirpnet: Risk prediction of traditional Chinese medicine ingredients based on a deep neural network
Relationship between 24-h movement behaviors and frailty—a scoping review
Background: Frailty is associated with increased risks of falls, disability, hospitalization, and mortality. The 24-h movement behaviors (24HMB) framework conceptualizes sleep, sedentary behavior (SB), light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) as mutually constrained components of daily time use and may inform frailty prevention and management. Objective: This scoping review maps evidence on associ…
Medicine (3 works) · Alternative medicine (1 works) · Artificial Intelligence (1 works) · Artificial neural network (1 works) · Bioinformatics (1 works) · Bioinformatics and Genomic Networks (1 works) · Biology (1 works) · Biomarker (1 works) · Clinical Practice (1 works) · Computational biology (1 works)