Leveraging nonlinear relationships and interactions to improve 30-day pneumonia readmission machine learning models.
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| Title: | Leveraging nonlinear relationships and interactions to improve 30-day pneumonia readmission machine learning models. |
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| Authors: | Mortensen EM; University of Connecticut School of Medicine, University of Connecticut Health Center, Farmington, Connecticut, United States of America., Atuegwu N; University of Connecticut School of Medicine, University of Connecticut Health Center, Farmington, Connecticut, United States of America., Sacco SJ; University of Connecticut School of Medicine, University of Connecticut Health Center, Farmington, Connecticut, United States of America. |
| Source: | PloS one [PLoS One] 2026 Jun 05; Vol. 21 (6), pp. e0349804. Date of Electronic Publication: 2026 Jun 05 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0349804 |
