Composite small vessel disease scores predict hemorrhagic transformation after thrombectomy: a machine learning study.

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Bibliographic Details
Title: Composite small vessel disease scores predict hemorrhagic transformation after thrombectomy: a machine learning study.
Authors: Goulart TO; Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Neurology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Neuroscience and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil. Electronic address: thiago.goulart@mail.utoronto.ca., do Vale Martins-Filho RK; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Neuroscience and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil., Camilo MR; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Neuroscience and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil., Abud DG; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Neuroscience and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil., Pontes-Neto OM; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Neuroscience and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Source: Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia [J Clin Neurosci] 2026 Sep; Vol. 151, pp. 112098. Date of Electronic Publication: 2026 May 19.
Publication Type: Journal Article
Journal Info: Publisher: Churchill Livingstone Country of Publication: Scotland NLM ID: 9433352 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-2653 (Electronic) Linking ISSN: 09675868 NLM ISO Abbreviation: J Clin Neurosci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-2653
DOI:10.1016/j.jocn.2026.112098