Predicting length of hospital stay in community-acquired pneumonia using clinical and treatment factors: a retrospective study with restricted cubic spline and piecewise regression analysis.
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| Title: | Predicting length of hospital stay in community-acquired pneumonia using clinical and treatment factors: a retrospective study with restricted cubic spline and piecewise regression analysis. |
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| Authors: | Zeng H; Sanming First Hospital Affiliated to Fujian Medical University, Sanming, China., Yang C; Sanming First Hospital Affiliated to Fujian Medical University, Sanming, China., Jiang M; Sanming First Hospital Affiliated to Fujian Medical University, Sanming, China., Luo X; Sanming First Hospital Affiliated to Fujian Medical University, Sanming, China., Luo G; Sanming First Hospital Affiliated to Fujian Medical University, Sanming, China., Chen X; Biomedical Center, Zhongguancun Big Data Industry Alliance, Beijing, China., Song Y; Biomedical Center, Zhongguancun Big Data Industry Alliance, Beijing, China., Wang L; Biomedical Center, Zhongguancun Big Data Industry Alliance, Beijing, China., Zhu X; Sanming First Hospital Affiliated to Fujian Medical University, Sanming, China., Zheng X; Sanming First Hospital Affiliated to Fujian Medical University, Sanming, China., Wei H; Sanming First Hospital Affiliated to Fujian Medical University, Sanming, China., Pan J; Sanming First Hospital Affiliated to Fujian Medical University, Sanming, China., Lin F; Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China. |
| Source: | Frontiers in public health [Front Public Health] 2026 Apr 22; Vol. 14, pp. 1768432. Date of Electronic Publication: 2026 Apr 22 (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.2026.1768432 |
