Pingping Dai
Biographic Data
| ID | 8193930 |
|---|---|
| NAME | Pingping Dai |
| GIVEN NAMES | Pingping |
| FAMILY NAME | Dai |
| SIGNATURE | DAI P |
| AFFILIATIONS | Central South University |
| ORCID | 0000-0003-1024-7114 |
| 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 |
Knowledge, attitude, practice of home blood pressure monitoring among rural residents
Objective This mixed-methods study investigated knowledge, attitude and practice (KAP) of home blood pressure monitoring among rural residents and urban-rural disparities.Methods From February 1 to September 1, 2025, a self-developed questionnaire assessed residents’ KAP, and semi-structured interviews with village doctors explored contextual factors.Results Of 1600 contacted residents, 948 valid responses were analyzed. Urban residents had highe…
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…
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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…
Knowledge, attitude, practice of home blood pressure monitoring among rural residents
Objective This mixed-methods study investigated knowledge, attitude and practice (KAP) of home blood pressure monitoring among rural residents and urban-rural disparities.Methods From February 1 to September 1, 2025, a self-developed questionnaire assessed residents’ KAP, and semi-structured interviews with village doctors explored contextual factors.Results Of 1600 contacted residents, 948 valid responses were analyzed. Urban residents had highe…
Computer Science (2 works) · Medicine (2 works) · Artificial Intelligence (1 work) · Blood Pressure and Hypertension Studies (1 work) · China (1 work) · Chronic renal failure (1 work) · Data science (1 work) · Econometrics (1 work) · Educational attainment (1 work) · Electronic Health Records Systems (1 work)