Junrong Liu
Biographic Data
| ID | 7771275 |
|---|---|
| NAME | Junrong Liu |
| GIVEN NAMES | Junrong |
| FAMILY NAME | Liu |
| SIGNATURE | LIU J |
| AFFILIATIONS | Guangzhou Medical University |
| ORCID | 0000-0002-3466-8485 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
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…
No prominent works on this page.
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…
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…
Family medicine (2 works) · Medical decision making (2 works) · Medicine (2 works) · Advanced Technologies in Various Fields (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare (1 work) · Biostatistics (1 work) · Clinical decision making (1 work) · Computer Science (1 work)