Shuai Zheng
Biographic Data
| ID | 5542396 |
|---|---|
| NAME | Shuai Zheng |
| GIVEN NAMES | Shuai |
| FAMILY NAME | Zheng |
| SIGNATURE | ZHENG S |
| AFFILIATIONS | China Three Gorges University |
| ORCID | 0000-0001-8149-8178 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Feasibility and Acceptability of an Incentive‐Based Intervention for Health Behaviour Change Among Rural Residents in China: A Mixed‐Methods Evaluation
BACKGROUND: Encouraging healthy behaviours among rural residents in China is crucial to promote health and well-being. Although financial incentives are known to be effective in promoting single healthy behaviours, their efficacy in simultaneously encouraging multiple healthy behaviours remains unclear. This study aimed to test the feasibility and acceptability of an incentive-based intervention to encourage multiple healthy behaviours. METHODS: …
Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic Association
The efficient and precise retrieval of desired information from extensive geological databases is a prominent and pivotal focus within the realm of geological information services. Conventional information retrieval methods primarily rely on keyword matching approaches, which often overlook the contextual and semantic aspects of the keywords, consequently impeding the retrieval system’s ability to accurately comprehend user query requirements. To…
Spatio-Temporal Relevance Classification from Geographic Texts Using Deep Learning
The growing proliferation of geographic information presents a substantial challenge to the traditional framework of a geographic information analysis and service. The dynamic integration and representation of geographic knowledge, such as triples, with spatio-temporal information play a crucial role in constructing a comprehensive spatio-temporal knowledge graph and facilitating the effective utilization of spatio-temporal big data for knowledge…
A Systematic Survey of Physicians' Insights Into Lipohypertrophy
Background: It is important that physicians be aware of LH. We designed a questionnaire to determine physician awareness, knowledge, and behaviors regarding LH in clinical practice. Participants: A total of 499 questionnaires were completed by physicians in hospitals from 13 cities in Jiangsu Province, China. Key Results: Compared with physicians at tertiary hospitals, significantly fewer physicians at primary hospitals reported awareness of LH a…
Improved Identification of Venous Thromboembolism From Electronic Medical Records Using a Novel Information Extraction Software Platform
INTRODUCTION: The United States federally mandated reporting of venous thromboembolism (VTE), defined by Agency for Healthcare Research & Quality Patient Safety Indicator 12 (AHRQ PSI-12), is based on administrative data, the accuracy of which has not been consistently demonstrated. We used IDEAL-X, a novel information extraction software system, to identify VTE from electronic medical records and evaluated its accuracy. METHODS: Medical records …
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Improved Identification of Venous Thromboembolism From Electronic Medical Records Using a Novel Information Extraction Software Platform
INTRODUCTION: The United States federally mandated reporting of venous thromboembolism (VTE), defined by Agency for Healthcare Research & Quality Patient Safety Indicator 12 (AHRQ PSI-12), is based on administrative data, the accuracy of which has not been consistently demonstrated. We used IDEAL-X, a novel information extraction software system, to identify VTE from electronic medical records and evaluated its accuracy. METHODS: Medical records …
A Systematic Survey of Physicians' Insights Into Lipohypertrophy
Background: It is important that physicians be aware of LH. We designed a questionnaire to determine physician awareness, knowledge, and behaviors regarding LH in clinical practice. Participants: A total of 499 questionnaires were completed by physicians in hospitals from 13 cities in Jiangsu Province, China. Key Results: Compared with physicians at tertiary hospitals, significantly fewer physicians at primary hospitals reported awareness of LH a…
Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic Association
The efficient and precise retrieval of desired information from extensive geological databases is a prominent and pivotal focus within the realm of geological information services. Conventional information retrieval methods primarily rely on keyword matching approaches, which often overlook the contextual and semantic aspects of the keywords, consequently impeding the retrieval system’s ability to accurately comprehend user query requirements. To…
Spatio-Temporal Relevance Classification from Geographic Texts Using Deep Learning
The growing proliferation of geographic information presents a substantial challenge to the traditional framework of a geographic information analysis and service. The dynamic integration and representation of geographic knowledge, such as triples, with spatio-temporal information play a crucial role in constructing a comprehensive spatio-temporal knowledge graph and facilitating the effective utilization of spatio-temporal big data for knowledge…
Feasibility and Acceptability of an Incentive‐Based Intervention for Health Behaviour Change Among Rural Residents in China: A Mixed‐Methods Evaluation
BACKGROUND: Encouraging healthy behaviours among rural residents in China is crucial to promote health and well-being. Although financial incentives are known to be effective in promoting single healthy behaviours, their efficacy in simultaneously encouraging multiple healthy behaviours remains unclear. This study aimed to test the feasibility and acceptability of an incentive-based intervention to encourage multiple healthy behaviours. METHODS: …
Computer Science (2 works) · Data Management and Algorithms (2 works) · Data mining (2 works) · Family medicine (2 works) · Geographic Information Systems Studies (2 works) · Information retrieval (2 works) · Medicine (2 works) · Adipokines, Inflammation, and Metabolic Diseases (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare and Education (1 works)