View in EDS HTML Full Text PDF Full Text

MRI radiomic features-based machine learning approach to classify ischemic stroke onset time.

Saved in:
Bibliographic Details
Title: MRI radiomic features-based machine learning approach to classify ischemic stroke onset time.
Authors: Zhang YQ; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.; Department of Critical Care Medicine, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China., Liu AF; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China., Man FY; Department of Radiology, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China., Zhang YY; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China., Li C; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China., Liu YE; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China., Zhou J; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China., Zhang AP; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China., Zhang YD; Central Laboratory of Research Department, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, People's Republic of China. zhangyd262@163.com., Lv J; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China. lvjin6630@hotmail.com.; Central Laboratory of Research Department, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, People's Republic of China. lvjin6630@hotmail.com., Jiang WJ; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China. cjr.jiangweijian@vip.163.com.
Source: Journal of neurology [J Neurol] 2022 Jan; Vol. 269 (1), pp. 350-360. Date of Electronic Publication: 2021 Jul 04.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 0423161 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1459 (Electronic) Linking ISSN: 03405354 NLM ISO Abbreviation: J Neurol Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 34218292
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: MRI radiomic features-based machine learning approach to classify ischemic stroke onset time.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Zhang+YQ%22">Zhang YQ</searchLink>; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.; Department of Critical Care Medicine, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.<br /><searchLink fieldCode="AU" term="%22Liu+AF%22">Liu AF</searchLink>; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.<br /><searchLink fieldCode="AU" term="%22Man+FY%22">Man FY</searchLink>; Department of Radiology, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.<br /><searchLink fieldCode="AU" term="%22Zhang+YY%22">Zhang YY</searchLink>; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.<br /><searchLink fieldCode="AU" term="%22Li+C%22">Li C</searchLink>; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.<br /><searchLink fieldCode="AU" term="%22Liu+YE%22">Liu YE</searchLink>; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.<br /><searchLink fieldCode="AU" term="%22Zhou+J%22">Zhou J</searchLink>; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.<br /><searchLink fieldCode="AU" term="%22Zhang+AP%22">Zhang AP</searchLink>; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.<br /><searchLink fieldCode="AU" term="%22Zhang+YD%22">Zhang YD</searchLink>; Central Laboratory of Research Department, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, People's Republic of China. zhangyd262@163.com.<br /><searchLink fieldCode="AU" term="%22Lv+J%22">Lv J</searchLink>; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China. lvjin6630@hotmail.com.; Central Laboratory of Research Department, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, People's Republic of China. lvjin6630@hotmail.com.<br /><searchLink fieldCode="AU" term="%22Jiang+WJ%22">Jiang WJ</searchLink>; Department of Vascular Neurosurgery, New Era Stroke Care and Research Institute, The PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China. cjr.jiangweijian@vip.163.com.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%220423161%22">Journal of neurology</searchLink> [J Neurol] 2022 Jan; Vol. 269 (1), pp. 350-360. <i>Date of Electronic Publication: </i>2021 Jul 04.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer-Verlag%22">Springer-Verlag </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>0423161 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1459 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203405354%22">03405354 </searchLink><i>NLM ISO Abbreviation: </i>J Neurol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34218292
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00415-021-10638-y
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 350
    Titles:
      – TitleFull: MRI radiomic features-based machine learning approach to classify ischemic stroke onset time.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhang YQ
      – PersonEntity:
          Name:
            NameFull: Liu AF
      – PersonEntity:
          Name:
            NameFull: Man FY
      – PersonEntity:
          Name:
            NameFull: Zhang YY
      – PersonEntity:
          Name:
            NameFull: Li C
      – PersonEntity:
          Name:
            NameFull: Liu YE
      – PersonEntity:
          Name:
            NameFull: Zhou J
      – PersonEntity:
          Name:
            NameFull: Zhang AP
      – PersonEntity:
          Name:
            NameFull: Zhang YD
      – PersonEntity:
          Name:
            NameFull: Lv J
      – PersonEntity:
          Name:
            NameFull: Jiang WJ
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: 2022 Jan
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-electronic
              Value: 1432-1459
          Numbering:
            – Type: volume
              Value: 269
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Journal of neurology
              Type: main
ResultId 1