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Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions
IMPORTANCE: Triage in the emergency department (ED) is a complex clinical judgment based on the tacit understanding of the patient’s likelihood of survival, availability of medical resources, and local practices. Although a scoring tool could be valuable in risk stratification, currently available s...
Autores principales: | Xie, Feng, Ong, Marcus Eng Hock, Liew, Johannes Nathaniel Min Hui, Tan, Kenneth Boon Kiat, Ho, Andrew Fu Wah, Nadarajan, Gayathri Devi, Low, Lian Leng, Kwan, Yu Heng, Goldstein, Benjamin Alan, Matchar, David Bruce, Chakraborty, Bibhas, Liu, Nan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397930/ https://www.ncbi.nlm.nih.gov/pubmed/34448870 http://dx.doi.org/10.1001/jamanetworkopen.2021.18467 |
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