Shengyu Guo
Dados Biográficos
| ID | 7938531 |
|---|---|
| NOME | Shengyu Guo |
| PRENOMES | Shengyu |
| SOBRENOME | Guo |
| ASSINATURA | GUO S |
| AFILIAÇÕES | Changsha University |
| ORCID | 0000-0001-9075-6511 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2019 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Analysis of the anti-scalping mechanism of hospital appointment registration based on Bayesian theory
Objective To evaluate the clinical effectiveness of a Bayesian-based anti-scalping mechanism integrated into a hospital appointment system in improving fairness, efficiency, and patient accessibility while reducing speculative bookings. Methods A retrospective analysis was conducted from January 2019 to December 2022 (defined as the core observation period, with the intervention occurring in January 2021). Results up to mid-2023 are provided sole…
Association between ambient temperature and increased total length of hospital stay of patients with cardiopulmonary disease in Hong Kong
Background: While temperature extremes have been shown to be associated with an increased risk of hospital admissions, evidence of their impact on the length of hospital stay, which may capture the lingering effects of temperature extremes, is scarce. Objectives: We aimed to evaluate the association between daily variation in ambient temperature and daily variation in daily total length of stay (daily TLOS), a composite measure encompassing the d…
Depression and Coping Styles of College Students in China During Covid-19 Pandemic
Background: The rapid spread and uncertain outcome of the 2019 novel coronavirus disease (COVID-19) around the world have caused worry, fear, and stress among the general population. Nevertheless, the prevalence of depression among college students in China during lockdown, following the COVID-19 pandemic, and their coping strategies have not been quantitatively assessed. Objective: We aimed to evaluate the prevalence of depression among college …
Exploring the Impact of Unsafe Behaviors on Building Construction Accidents Using a Bayesian Network
Unsafe behavior is a critical factor leading to construction accidents. Despite numerous studies supporting this viewpoint, the process by which accidents are influenced by construction workers' unsafe behaviors and the extent to which unsafe behaviors are involved in this process remain poorly discussed. Therefore, this paper selects cases from Chinese building construction accidents to explore the probabilistic transmission paths from unsafe be…
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Exploring the Impact of Unsafe Behaviors on Building Construction Accidents Using a Bayesian Network
Unsafe behavior is a critical factor leading to construction accidents. Despite numerous studies supporting this viewpoint, the process by which accidents are influenced by construction workers' unsafe behaviors and the extent to which unsafe behaviors are involved in this process remain poorly discussed. Therefore, this paper selects cases from Chinese building construction accidents to explore the probabilistic transmission paths from unsafe be…
Depression and Coping Styles of College Students in China During Covid-19 Pandemic
Background: The rapid spread and uncertain outcome of the 2019 novel coronavirus disease (COVID-19) around the world have caused worry, fear, and stress among the general population. Nevertheless, the prevalence of depression among college students in China during lockdown, following the COVID-19 pandemic, and their coping strategies have not been quantitatively assessed. Objective: We aimed to evaluate the prevalence of depression among college …
Association between ambient temperature and increased total length of hospital stay of patients with cardiopulmonary disease in Hong Kong
Background: While temperature extremes have been shown to be associated with an increased risk of hospital admissions, evidence of their impact on the length of hospital stay, which may capture the lingering effects of temperature extremes, is scarce. Objectives: We aimed to evaluate the association between daily variation in ambient temperature and daily variation in daily total length of stay (daily TLOS), a composite measure encompassing the d…
Analysis of the anti-scalping mechanism of hospital appointment registration based on Bayesian theory
Objective To evaluate the clinical effectiveness of a Bayesian-based anti-scalping mechanism integrated into a hospital appointment system in improving fairness, efficiency, and patient accessibility while reducing speculative bookings. Methods A retrospective analysis was conducted from January 2019 to December 2022 (defined as the core observation period, with the intervention occurring in January 2021). Results up to mid-2023 are provided sole…
Medicine (3 obras) · Disease (2 obras) · Environmental health (2 obras) · Internal Medicine (2 obras) · Psychology (2 obras) · Accident (philosophy (1 obras) · Anxiety (1 obras) · Artificial Intelligence (1 obras) · Audit (1 obras) · Bayes' theorem (1 obras)