Identifying determinants of readmission and death post-stroke using explainable machine learning.
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| Title: | Identifying determinants of readmission and death post-stroke using explainable machine learning. |
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| Authors: | Veledar E; University of Miami Miller School of Medicine, Miami, Florida, United States of America., Zhou L; University of Miami Miller School of Medicine, Miami, Florida, United States of America., Veledar O; Beevadoo e.U, Graz, Austria., Gardener H; University of Miami Miller School of Medicine, Miami, Florida, United States of America., Gutierrez CM; University of Miami Miller School of Medicine, Miami, Florida, United States of America., Brown SC; University of Miami Miller School of Medicine, Miami, Florida, United States of America., Fakoori F; University of Miami Miller School of Medicine, Miami, Florida, United States of America., Johnson KH; University of Miami Miller School of Medicine, Miami, Florida, United States of America., Del Brutto VJ; University of Miami Miller School of Medicine, Miami, Florida, United States of America., Alkhachroum A; University of Miami Miller School of Medicine, Miami, Florida, United States of America., Rose DZ; Department of Neurology, University of South Florida College of Medicine, Tampa, Florida, United States of America., Perue GG; University of Miami Miller School of Medicine, Miami, Florida, United States of America., Asdaghi N; University of Miami Miller School of Medicine, Miami, Florida, United States of America., Romano JG; University of Miami Miller School of Medicine, Miami, Florida, United States of America., Rundek T; University of Miami Miller School of Medicine, Miami, Florida, United States of America. |
| Source: | PloS one [PLoS One] 2025 Sep 18; Vol. 20 (9), pp. e0332371. Date of Electronic Publication: 2025 Sep 18 (Print Publication: 2025). |
| Publication Type: | Journal Article; Multicenter Study; Observational Study |
| 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.0332371 |
