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
- Jang SK1
- Chang JY1
- Lee JS2,3
- Lee EJ1
- Kim YH4
- Han JH1
- Chang DI5
- Cho HJ6
- Cha JK7
- Yu KH8
- Jung JM9
- Ahn SH10
- Kim DE11
- Sohn SI12
- Lee JH13
- Park KP14
- Kwon SU1
- Kim JS1
- Kang DW
1 - KOSNI Investigators
- Affiliations
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- 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
- KMID: 2508045
- DOI: http://doi.org/10.5853/jos.2020.02537
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