https://scholars.lib.ntu.edu.tw/handle/123456789/616084
標題: | Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach | 作者: | Park, James Yeongjun Hsu, Tzu-Chun Hu, Jiun-Ruey Chen, Chun-Yuan Hsu, Wan-Ting Lee, Matthew Ho, Joshua CHIEN-CHANG LEE |
關鍵字: | SuperLearner; machine learning; mortality; sepsis | 公開日期: | 2022 | 出版社: | JMIR PUBLICATIONS, INC | 卷: | 24 | 期: | 4 | 來源出版物: | Journal of medical Internet research | 摘要: | Although machine learning (ML) algorithms have been applied to point-of-care sepsis prognostication, ML has not been used to predict sepsis mortality in an administrative database. Therefore, we examined the performance of common ML algorithms in predicting sepsis mortality in adult patients with sepsis and compared it with that of the conventional context knowledge-based logistic regression approach. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/616084 | ISSN: | 1438-8871 | DOI: | 10.2196/29982 |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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