Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.
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| Title: | Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability. |
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| Authors: | Ye Q; Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China., Fang G; Department of Nephrology, Nanjing Jinling Hospital, General Hospital of Eastern Theatre Command, Nanjing, Jiangsu, China., Li L; Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China., Li Q; Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China., Yang Y; Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China., Liu L; Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. |
| Source: | PloS one [PLoS One] 2026 Jul 02; Vol. 21 (7), pp. e0351468. Date of Electronic Publication: 2026 Jul 02 (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.0351468 |
