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...

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Detalles Bibliográficos
Autores principales: Wu, Kuan-Han, Cheng, Fu-Jen, Tai, Hsiang-Ling, Wang, Jui-Cheng, Huang, Yii-Ting, Su, Chih-Min, Chang, Yun-Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Emergency and Critical Care
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

Internet

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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