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Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regressionopen accessReliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression
- Other Titles
- Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression
- Authors
- Jang, Su-Kyeong; Chang, Jun Young; Lee, Ji Sung; Lee, Eun-Jae; Kim, Yong-Hwan; Han, Jung Hoon; Chang, Dae-Il; Cho, Han Jin; Cha, Jae-Kwan; Yu, Kyung Ho; Jung, Jin-Man; Ahn, Seong Hwan; Kim, Dong-Eog; Sohn, Sung-Il; Lee, Ju Hun; Park, Kyung-Pil; Kwon, Sun U.; Kim, Jong S.; Kang, Dong-Wha
- Issue Date
- Sep-2020
- Publisher
- KOREAN STROKE SOC
- Citation
- JOURNAL OF STROKE, v.22, no.3, pp 403 - 406
- Pages
- 4
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- JOURNAL OF STROKE
- Volume
- 22
- Number
- 3
- Start Page
- 403
- End Page
- 406
- ISSN
- 2287-6391
2287-6405
- Abstract
- [No abstract available]
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Graduate School > Department of Medicine > 1. Journal Articles
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Related Researcher
- Kim, Dong Eog
- Graduate School (Department of Medicine)