Xiaoya Ma
Biographic Data
| ID | 4023674 |
|---|---|
| NAME | Xiaoya Ma |
| GIVEN NAMES | Xiaoya |
| FAMILY NAME | Ma |
| SIGNATURE | MA X |
| AFFILIATIONS | Yangtze University |
| ORCID | 0000-0002-9478-4066 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Perceptions and attitudes of emergency department nurses toward artificial intelligence applications in triage: A qualitative study
Object: This study aims to explore the cognition and attitude of emergency department nurses toward the application of artificial intelligence (AI) in triage, reveal the challenges faced in the application process, and provide suggestions for promoting the application of AI triage in China. Methods: This study adopted a qualitative research design and employed the Colaizzi phenomenological method. Purposive sampling was used to select emergency d…
Assessing the impact of the digital economy on sustainable development in the underdeveloped regions of western China
Optimizing the ultra-dense 5G base stations in urban outdoor areas: Coupling GIS and heuristic optimization
An adaptive agent-based optimization model for spatial planning: A case study of Anyue County, China
An adaptive agent-based optimization model for spatial planning: A case study of Anyue County, China
Optimizing the ultra-dense 5G base stations in urban outdoor areas: Coupling GIS and heuristic optimization
Assessing the impact of the digital economy on sustainable development in the underdeveloped regions of western China
Perceptions and attitudes of emergency department nurses toward artificial intelligence applications in triage: A qualitative study
Object: This study aims to explore the cognition and attitude of emergency department nurses toward the application of artificial intelligence (AI) in triage, reveal the challenges faced in the application process, and provide suggestions for promoting the application of AI triage in China. Methods: This study adopted a qualitative research design and employed the Colaizzi phenomenological method. Purposive sampling was used to select emergency d…
Artificial Intelligence (2 works) · Computer Science (2 works) · Engineering (2 works) · Heuristic (2 works) · Advanced MIMO Systems Optimization (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Base station (1 works) · Cellular network (1 works) · China (1 works) · Cognition (1 works)