J Stroke.  2020 Sep;22(3):403-406. 10.5853/jos.2020.02537.

Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression

Affiliations
  • 1Department of Neurology, Asan Medical Center, Seoul, Korea
  • 2Clinical Research Center, Asan Medical Center, Seoul, Korea
  • 3Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, Seoul, Korea
  • 4Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea
  • 5Department of Neurology, Kyung Hee University Medical Center, Seoul, Korea
  • 6Department of Neurology, Pusan National University Hospital, Busan, Korea
  • 7Department of Neurology, Dong-A University Hospital, Busan, Korea
  • 8Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
  • 9Department of Neurology, Korea University Ansan Hospital, Ansan, Korea
  • 10Department of Neurology, Chosun University Hospital, Gwangju, Korea
  • 11Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
  • 12Department of Neurology, Keimyung University Medical Center, Daegu, Korea
  • 13Department of Neurology, Hallym University Kangdong Sacred Heart Hospital, Seoul, Korea
  • 14Department of Neurology, Pusan National University Yangsan Hospital, Yangsan, Korea

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