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Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression
| Autores principales: | , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korean Stroke Society
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568985/ https://www.ncbi.nlm.nih.gov/pubmed/33053956 http://dx.doi.org/10.5853/jos.2020.02537 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Jang, Su-Kyeong |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7568985 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | Korean Stroke Society |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-75689852020-10-22 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 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 J Stroke Letter to the Editor Korean Stroke Society 2020-09 2020-09-29 /pmc/articles/PMC7568985/ /pubmed/33053956 http://dx.doi.org/10.5853/jos.2020.02537 Text en Copyright © 2020 Korean Stroke Society This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| spellingShingle | Letter to the Editor 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 Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression |
| title | Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression |
| title_full | Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression |
| title_fullStr | Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression |
| title_full_unstemmed | Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression |
| title_short | Reliability and Clinical Utility of Machine Learning to Predict Stroke Prognosis: Comparison with Logistic Regression |
| title_sort | reliability and clinical utility of machine learning to predict stroke prognosis: comparison with logistic regression |
| topic | Letter to the Editor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568985/ https://www.ncbi.nlm.nih.gov/pubmed/33053956 http://dx.doi.org/10.5853/jos.2020.02537 |
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