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

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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
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  Data: <searchLink fieldCode="AU" term="%22Goulart+TO%22">Goulart TO</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22do+Vale+Martins-Filho+RK%22">do Vale Martins-Filho RK</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Camilo+MR%22">Camilo MR</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Abud+DG%22">Abud DG</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Pontes-Neto+OM%22">Pontes-Neto OM</searchLink>; 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.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Churchill+Livingstone%22">Churchill Livingstone </searchLink><i>Country of Publication: </i>Scotland <i>NLM ID: </i>9433352 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-2653 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209675868%22">09675868 </searchLink><i>NLM ISO Abbreviation: </i>J Clin Neurosci <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.jocn.2026.112098
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      – Code: eng
        Text: English
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        StartPage: 112098
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      – TitleFull: Composite small vessel disease scores predict hemorrhagic transformation after thrombectomy: a machine learning study.
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              M: 09
              Text: 2026 Sep
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