Predicting 30-day readmission using DRG-based hospitalization data: a large real-world logistic regression model from a tertiary hospital.
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| Title: | Predicting 30-day readmission using DRG-based hospitalization data: a large real-world logistic regression model from a tertiary hospital. |
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| Authors: | Shao W; Department of Pharmacy, Liaoning Institute of Basic Medical Sciences, Shenyang, China., Shu L; School of Pharmacy, Naval Medical University, Shanghai, China., Wang X; School of Pharmacy, Naval Medical University, Shanghai, China., Yu F; Department of Pharmacy, Liaoning Institute of Basic Medical Sciences, Shenyang, China., Zhou T; Department of Pharmacy, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China., Han D; School of Pharmacy, Naval Medical University, Shanghai, China. |
| Source: | Frontiers in public health [Front Public Health] 2026 Feb 25; Vol. 14, pp. 1776878. Date of Electronic Publication: 2026 Feb 25 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-2565 |
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| DOI: | 10.3389/fpubh.2026.1776878 |
