YuWen Lyu
Biographic Data
| ID | 6248284 |
|---|---|
| NAME | YuWen Lyu |
| GIVEN NAMES | YuWen |
| FAMILY NAME | Lyu |
| SIGNATURE | LYU Y |
| AFFILIATIONS | Guangzhou University |
| ORCID | 0000-0003-1562-3350 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Artificial intelligence in linguistics
Digital economy and institutional dynamics
In conclusion, the findings from this study offer substantial insights into the dual impact of the digital economy on public service provision, enriching the ongoing discourse on digital transformation and social equity. The research underscores the significance of strategic policy reforms and institutional adjustments to harness the transformative power of the digital economy, promoting equitable access to public services and advancing the goal …
Exploring the medical decision-making patterns and influencing factors among the general Chinese public
This study elucidates the complex interplay of socio-cultural and individual determinants shaping medical decision-making in China. The findings reveal a marked inclination towards collaborative models, closely linked to educational level, marital status, and specific insurance types, reflecting an evolving trend towards participatory healthcare. Simultaneously, the persistence of unilateral models, influenced by gender, religious beliefs, and oc…
Prediction of patient choice tendency in medical decision-making based on machine learning algorithm
Objective: Machine learning (ML) algorithms, as an early branch of artificial intelligence technology, can effectively simulate human behavior by training on data from the training set. Machine learning algorithms were used in this study to predict patient choice tendencies in medical decision-making. Its goal was to help physicians understand patient preferences and to serve as a resource for the development of decision-making schemes in clinica…
Impact of Digital Economy on the Provision Efficiency for Public Health Services
The digital economy is booming in China and has become the world's largest after the United States'. Since China entered the era of the digital economy, its digital technology has radiated into various fields. This study is to examine the impact of China's digital economy on the provision efficiency of public health institutions and the mechanism of action between them. Specifically, it measures the development level of China's digital economy, a…
Psychological Well-Being of Left-Behind Children in China
China's migrant population has significantly contributed to its economic growth; however, the impact on the well-being of left-behind children (LBC) has become a serious public health problem. Text mining is an effective tool for identifying people's mental state, and is therefore beneficial in exploring the psychological mindset of LBC. Traditional data collection methods, which use questionnaires and standardized scales, are limited by their sa…
Exploring public attitudes of child abuse in mainland China
Exploring public attitudes of child abuse in mainland China
Impact of Digital Economy on the Provision Efficiency for Public Health Services
The digital economy is booming in China and has become the world's largest after the United States'. Since China entered the era of the digital economy, its digital technology has radiated into various fields. This study is to examine the impact of China's digital economy on the provision efficiency of public health institutions and the mechanism of action between them. Specifically, it measures the development level of China's digital economy, a…
Psychological Well-Being of Left-Behind Children in China
China's migrant population has significantly contributed to its economic growth; however, the impact on the well-being of left-behind children (LBC) has become a serious public health problem. Text mining is an effective tool for identifying people's mental state, and is therefore beneficial in exploring the psychological mindset of LBC. Traditional data collection methods, which use questionnaires and standardized scales, are limited by their sa…
Prediction of patient choice tendency in medical decision-making based on machine learning algorithm
Objective: Machine learning (ML) algorithms, as an early branch of artificial intelligence technology, can effectively simulate human behavior by training on data from the training set. Machine learning algorithms were used in this study to predict patient choice tendencies in medical decision-making. Its goal was to help physicians understand patient preferences and to serve as a resource for the development of decision-making schemes in clinica…
Digital economy and institutional dynamics
In conclusion, the findings from this study offer substantial insights into the dual impact of the digital economy on public service provision, enriching the ongoing discourse on digital transformation and social equity. The research underscores the significance of strategic policy reforms and institutional adjustments to harness the transformative power of the digital economy, promoting equitable access to public services and advancing the goal …
Exploring the medical decision-making patterns and influencing factors among the general Chinese public
This study elucidates the complex interplay of socio-cultural and individual determinants shaping medical decision-making in China. The findings reveal a marked inclination towards collaborative models, closely linked to educational level, marital status, and specific insurance types, reflecting an evolving trend towards participatory healthcare. Simultaneously, the persistence of unilateral models, influenced by gender, religious beliefs, and oc…
Artificial intelligence in linguistics
Medicine (4 works) · Artificial Intelligence (3 works) · Computer Science (3 works) · Geography (3 works) · Business (2 works) · China (2 works) · Family medicine (2 works) · Medical decision making (2 works) · Nursing (2 works) · Population (2 works)