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KUMEL Repository 1. Journal Papers (연구논문) 1. School of Medicine (의과대학) Dept. of Neurology (신경과학)

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

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Author(s): Su-Kyeong Jang; Jun Young Chang; Ji Sung Lee; Eun-Jae Lee; Yong-Hwan Kim; Jung Hoon Han; Dae-Il Chang; Han Jin Cho; Jae-Kwan Cha; Kyung Ho Yu; Jin-Man Jung; Seong Hwan Ahn; Dong-Eog Kim; Sung-Il Sohn; Ju Hun Lee; Kyung-Pil Park; Sun U. Kwon; Jong S. Kim; Dong-Wha Kang

Keimyung Author(s): Sohn, Sung Il

Department: Dept. of Neurology (신경과학)

Journal Title: 대한뇌졸중학회지

Issued Date: 2020

Volume: 22

Issue: 3

Keimyung Author(s)(Kor): 손성일

Publisher: School of Medicine (의과대학)

Citation: Su-Kyeong Jang et al. (2020). Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression. 대한뇌졸중학회지, 22(3), 403–406. doi: 10.5853/jos.2020.02537

Type: Article

ISSN: 2287-6405

Source: https://www.j-stroke.org/journal/view.php?number=344

DOI: 10.5853/jos.2020.02537

URI: https://kumel.medlib.dsmc.or.kr/handle/2015.oak/42897

Appears in Collections:: 1. School of Medicine (의과대학) > Dept. of Neurology (신경과학)

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