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Utilizing imaging parameters for functional outcome prediction in acute ischemic stroke: A machine learning study.

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Title: Utilizing imaging parameters for functional outcome prediction in acute ischemic stroke: A machine learning study.
Authors: Ozkara BB; Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA., Karabacak M; Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA., Hoseinyazdi M; Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, Maryland, USA., Dagher SA; Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA., Wang R; Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, Maryland, USA., Karadon SY; School of Medicine, Manisa Celal Bayar University, Manisa, Turkey., Ucisik FE; Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA., Margetis K; Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA., Wintermark M; Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA., Yedavalli VS; Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Source: Journal of neuroimaging : official journal of the American Society of Neuroimaging [J Neuroimaging] 2024 May-Jun; Vol. 34 (3), pp. 356-365. Date of Electronic Publication: 2024 Mar 02.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 9102705 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-6569 (Electronic) Linking ISSN: 10512284 NLM ISO Abbreviation: J Neuroimaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Ozkara+BB%22">Ozkara BB</searchLink>; Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Karabacak+M%22">Karabacak M</searchLink>; Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22Hoseinyazdi+M%22">Hoseinyazdi M</searchLink>; Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Dagher+SA%22">Dagher SA</searchLink>; Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Wang+R%22">Wang R</searchLink>; Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Karadon+SY%22">Karadon SY</searchLink>; School of Medicine, Manisa Celal Bayar University, Manisa, Turkey.<br /><searchLink fieldCode="AU" term="%22Ucisik+FE%22">Ucisik FE</searchLink>; Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Margetis+K%22">Margetis K</searchLink>; Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA.<br /><searchLink fieldCode="AU" term="%22Wintermark+M%22">Wintermark M</searchLink>; Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA.<br /><searchLink fieldCode="AU" term="%22Yedavalli+VS%22">Yedavalli VS</searchLink>; Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, Maryland, USA.
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  Data: <searchLink fieldCode="JN" term="%229102705%22">Journal of neuroimaging : official journal of the American Society of Neuroimaging</searchLink> [J Neuroimaging] 2024 May-Jun; Vol. 34 (3), pp. 356-365. <i>Date of Electronic Publication: </i>2024 Mar 02.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9102705 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1552-6569 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210512284%22">10512284 </searchLink><i>NLM ISO Abbreviation: </i>J Neuroimaging <i>Subsets: </i>MEDLINE
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        Value: 10.1111/jon.13194
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      – TitleFull: Utilizing imaging parameters for functional outcome prediction in acute ischemic stroke: A machine learning study.
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              Text: 2024 May-Jun
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