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Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression
Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression
- Jang, Su-Kyeong;
- Chang, Jun Young;
- Lee, Ji Sung;
- Lee, Eun-Jae;
- Kim, Yong-Hwan;
- ... Kim, Dong-Eog;
- 외 13명
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WEB OF SCIENCE
24Citations
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29초록
[No abstract available]
키워드
CHAINED EQUATIONS; IMPUTATION; MODELS
- 제목
- Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression
- 제목 (타언어)
- Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression
- 저자
- 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
- 발행일
- 2020-09
- 유형
- Letter
- 권
- 22
- 호
- 3
- 페이지
- 403 ~ 406