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Predicting in-hospital mortality in adult non-traumatic emergency department patients: a retrospective comparison of the Modified Early Warning Score (MEWS) and machine learning approach
BACKGROUND: A feasible and accurate risk prediction systems for emergency department (ED) patients is urgently required. The Modified Early Warning Score (MEWS) is a wide-used tool to predict clinical outcomes in ED. Literatures showed that machine learning (ML) had better predictability in specific...
Autores principales: | Wu, Kuan-Han, Cheng, Fu-Jen, Tai, Hsiang-Ling, Wang, Jui-Cheng, Huang, Yii-Ting, Su, Chih-Min, Chang, Yun-Nan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8395578/ https://www.ncbi.nlm.nih.gov/pubmed/34513328 http://dx.doi.org/10.7717/peerj.11988 |
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