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Predicting 30-day readmissions in pneumonia patients using machine learning and residential greenness.

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Title: Predicting 30-day readmissions in pneumonia patients using machine learning and residential greenness.
Authors: Choi S; Department of Medicine, College of Medicine, Gachon University, Incheon, Republic of Korea., Kim YJ; Gachon Biomedical & Convergence Institute, Gil Medical Center, Gachon University, Incheon, Republic of Korea., Lee SM; Medical Devices R&D Center, Gachon University Gil Medical Center, Incheon, Republic of Korea.; Department of Biohealth & Medical Engineering, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea., Kim KG; Gachon Biomedical & Convergence Institute, Gil Medical Center, Gachon University, Incheon, Republic of Korea.; Medical Devices R&D Center, Gachon University Gil Medical Center, Incheon, Republic of Korea.; Department of Biohealth & Medical Engineering, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea.; Department of Biomedical Engineering, Gil Medical Center, College of Medicine, Gachon University, Incheon, Republic of Korea.
Source: Digital health [Digit Health] 2025 Apr 03; Vol. 11, pp. 20552076251325990. Date of Electronic Publication: 2025 Apr 03 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Choi+S%22">Choi S</searchLink>; Department of Medicine, College of Medicine, Gachon University, Incheon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+YJ%22">Kim YJ</searchLink>; Gachon Biomedical & Convergence Institute, Gil Medical Center, Gachon University, Incheon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+SM%22">Lee SM</searchLink>; Medical Devices R&D Center, Gachon University Gil Medical Center, Incheon, Republic of Korea.; Department of Biohealth & Medical Engineering, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+KG%22">Kim KG</searchLink>; Gachon Biomedical & Convergence Institute, Gil Medical Center, Gachon University, Incheon, Republic of Korea.; Medical Devices R&D Center, Gachon University Gil Medical Center, Incheon, Republic of Korea.; Department of Biohealth & Medical Engineering, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea.; Department of Biomedical Engineering, Gil Medical Center, College of Medicine, Gachon University, Incheon, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%22101690863%22">Digital health</searchLink> [Digit Health] 2025 Apr 03; Vol. 11, pp. 20552076251325990. <i>Date of Electronic Publication: </i>2025 Apr 03 (<i>Print Publication: </i>2025).
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        Value: 10.1177/20552076251325990
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              Text: 2025 Apr 03
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