Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression
J Stroke
.
2020 Sep;22(3):403-406.
doi: 10.5853/jos.2020.02537.
Epub 2020 Sep 29.
Authors
Su-Kyeong Jang
1
,
Jun Young Chang
1
,
Ji Sung Lee
2
3
,
Eun-Jae Lee
1
,
Yong-Hwan Kim
4
,
Jung Hoon Han
1
,
Dae-Il Chang
5
,
Han Jin Cho
6
,
Jae-Kwan Cha
7
,
Kyung Ho Yu
8
,
Jin-Man Jung
9
,
Seong Hwan Ahn
10
,
Dong-Eog Kim
11
,
Sung-Il Sohn
12
,
Ju Hun Lee
13
,
Kyung-Pil Park
14
,
Sun U Kwon
1
,
Jong S Kim
1
,
Dong-Wha Kang
1
;
KOSNI Investigators
Affiliations
1
Department of Neurology, Asan Medical Center, Seoul, Korea.
2
Clinical Research Center, Asan Medical Center, Seoul, Korea.
3
Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, Seoul, Korea.
4
Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.
5
Department of Neurology, Kyung Hee University Medical Center, Seoul, Korea.
6
Department of Neurology, Pusan National University Hospital, Busan, Korea.
7
Department of Neurology, Dong-A University Hospital, Busan, Korea.
8
Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea.
9
Department of Neurology, Korea University Ansan Hospital, Ansan, Korea.
10
Department of Neurology, Chosun University Hospital, Gwangju, Korea.
11
Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea.
12
Department of Neurology, Keimyung University Medical Center, Daegu, Korea.
13
Department of Neurology, Hallym University Kangdong Sacred Heart Hospital, Seoul, Korea.
14
Department of Neurology, Pusan National University Yangsan Hospital, Yangsan, Korea.
PMID:
33053956
PMCID:
PMC7568985
DOI:
10.5853/jos.2020.02537
No abstract available
Grants and funding
Korea Health Industry Development Institute
HI18C2383/Ministry of Health and Welfare
HI12C1847/Ministry of Health and Welfare