Zirui Xin
Biographic Data
| ID | 9596441 |
|---|---|
| NAME | Zirui Xin |
| GIVEN NAMES | Zirui |
| FAMILY NAME | Xin |
| SIGNATURE | XIN Z |
| AFFILIATIONS | Central South University |
| ORCID | 0000-0003-3304-6112 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Family consent to deceased organ donation in China
BACKGROUND: Organ donation improves patient survival and quality of life, yet family refusal is a major barrier. This study aimed to explore the role of family discussions in shaping attitudes and decisions about organ donation in China, while also examining the influencing factors at the individual, family, community and societal levels. METHOD: Participatory interviews with family members were conducted based on the social-ecological model (SEM…
Multidimensional analysis of job advertisements for medical record information managers
Objective: The rapid growth of the medical industry has resulted in a tremendous increase in medical record data, which can be utilized for hospital management, aiding in diagnosis and treatment, medical research, and other purposes. For data management and analysis, medical institutions require more qualified medical record information managers. In light of this, we conducted an analysis of the qualifications, abilities, and job emphasis of medi…
Retrospective Study on the Influencing Factors and Prediction of Hospitalization Expenses for Chronic Renal Failure in China Based on Random Forest and Lasso Regression
Aim: With the improvement in people's living standards, the incidence of chronic renal failure (CRF) is increasing annually. The increase in the number of patients with CRF has significantly increased pressure on China's medical budget. Predicting hospitalization expenses for CRF can provide guidance for effective allocation and control of medical costs. The purpose of this study was to use the random forest (RF) method and least absolute shrinka…
No prominent works on this page.
Retrospective Study on the Influencing Factors and Prediction of Hospitalization Expenses for Chronic Renal Failure in China Based on Random Forest and Lasso Regression
Aim: With the improvement in people's living standards, the incidence of chronic renal failure (CRF) is increasing annually. The increase in the number of patients with CRF has significantly increased pressure on China's medical budget. Predicting hospitalization expenses for CRF can provide guidance for effective allocation and control of medical costs. The purpose of this study was to use the random forest (RF) method and least absolute shrinka…
Multidimensional analysis of job advertisements for medical record information managers
Objective: The rapid growth of the medical industry has resulted in a tremendous increase in medical record data, which can be utilized for hospital management, aiding in diagnosis and treatment, medical research, and other purposes. For data management and analysis, medical institutions require more qualified medical record information managers. In light of this, we conducted an analysis of the qualifications, abilities, and job emphasis of medi…
Family consent to deceased organ donation in China
BACKGROUND: Organ donation improves patient survival and quality of life, yet family refusal is a major barrier. This study aimed to explore the role of family discussions in shaping attitudes and decisions about organ donation in China, while also examining the influencing factors at the individual, family, community and societal levels. METHOD: Participatory interviews with family members were conducted based on the social-ecological model (SEM…
Medicine (3 works) · Computer Science (2 works) · Artificial Intelligence (1 work) · China (1 work) · Chronic renal failure (1 work) · Conformity (1 work) · Data science (1 work) · Donation (1 work) · Econometrics (1 work) · Electronic Health Records Systems (1 work)