The performance of machine learning for predicting the recurrent stroke: a systematic review and meta-analysis on 24,350 patients.

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Title: The performance of machine learning for predicting the recurrent stroke: a systematic review and meta-analysis on 24,350 patients.
Authors: Habibi MA; Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran. mohammad.habibi1392@yahoo.com., Rashidi F; School of Medicine, Tehran University of Medical Sciences, Tehran, Iran., Mehrtabar E; Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran., Arshadi MR; Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran., Fallahi MS; Department of Neurosurgery, Tehran University of Medical Sciences, Tehran, Iran., Amirkhani N; School of Medicine, Tehran University of Medical Sciences, Tehran, Iran., Hajikarimloo B; Department of Neurological Surgery, University of Virginia, Charlottesville, USA., Shafizadeh M; Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran., Majidi S; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10128, USA., Dmytriw AA; Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Source: Acta neurologica Belgica [Acta Neurol Belg] 2025 Jun; Vol. 125 (3), pp. 609-624. Date of Electronic Publication: 2024 Nov 07.
Publication Type: Journal Article; Systematic Review; Meta-Analysis
Journal Info: Publisher: Springer Country of Publication: Italy NLM ID: 0247035 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2240-2993 (Electronic) Linking ISSN: 03009009 NLM ISO Abbreviation: Acta Neurol Belg Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Habibi+MA%22">Habibi MA</searchLink>; Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran. mohammad.habibi1392@yahoo.com.<br /><searchLink fieldCode="AU" term="%22Rashidi+F%22">Rashidi F</searchLink>; School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Mehrtabar+E%22">Mehrtabar E</searchLink>; Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Arshadi+MR%22">Arshadi MR</searchLink>; Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Fallahi+MS%22">Fallahi MS</searchLink>; Department of Neurosurgery, Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Amirkhani+N%22">Amirkhani N</searchLink>; School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Hajikarimloo+B%22">Hajikarimloo B</searchLink>; Department of Neurological Surgery, University of Virginia, Charlottesville, USA.<br /><searchLink fieldCode="AU" term="%22Shafizadeh+M%22">Shafizadeh M</searchLink>; Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Majidi+S%22">Majidi S</searchLink>; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10128, USA.<br /><searchLink fieldCode="AU" term="%22Dmytriw+AA%22">Dmytriw AA</searchLink>; Neuroendovascular Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Italy <i>NLM ID: </i>0247035 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2240-2993 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203009009%22">03009009 </searchLink><i>NLM ISO Abbreviation: </i>Acta Neurol Belg <i>Subsets: </i>MEDLINE
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              Text: 2025 Jun
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