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Advances in machine learning for the diagnosis and treatment of stroke.

With the rapid development of artificial intelligence (AI), machine learning (ML) algorithms has been widely used in stroke diagnosis, treatment and prognosis, and has shown great application potential. This paper summarizes the application status of ML algorithms in stroke research from the aspects...

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Published in:Chinese Journal of Contemporary Neurology & Neurosurgery Vol. 23; no. 1; pp. 5 - 9
Main Authors: GAO Xiao-bo, SHU Chang, LI Xiang-fei, LUO Da, GE Le
Format: review Journal Article
Published: Chinese Journal of Contemporary Neurology & Neurosurgery Jan2023
Online Access:View this record in EBSCOhost
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      dt: Jan2023
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      pub: Chinese Journal of Contemporary Neurology & Neurosurgery
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        10.3969/j.issn.1672-6731.2023.01.002
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        atl: Advances in machine learning for the diagnosis and treatment of stroke.
      aug:
        au:
          GAO Xiao-bo
          SHU Chang
          LI Xiang-fei
          LUO Da
          GE Le
        affil: School of Economics and Management, Tiangong University, Tianjin 300387, China
      sug:
        subj:
          Machine Learning
          Stroke Therapy
          Stroke Diagnosis
          Artificial Intelligence
          Research, Medical
          Algorithms
          Risk Assessment
          Treatment Outcomes
      ab: With the rapid development of artificial intelligence (AI), machine learning (ML) algorithms has been widely used in stroke diagnosis, treatment and prognosis, and has shown great application potential. This paper summarizes the application status of ML algorithms in stroke research from the aspects of ML algorithms research, ML algorithms in stroke diagnosis and classification diagnosis, outcome prediction, risk factor identification and so on, and looks into the future development direction.
      pubtype: Academic Journal
      doctype:
        review
        Journal Article
      ougenre: Article
    language: Chinese
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