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Development of a machine-learning algorithm to predict in-hospital cardiac arrest for emergency department patients using a nationwide database
In this retrospective observational study, we aimed to develop a machine-learning model using data obtained at the prehospital stage to predict in-hospital cardiac arrest in the emergency department (ED) of patients transferred via emergency medical services. The dataset was constructed by attaching...
Autores principales: | Kim, Ji Hoon, Choi, Arom, Kim, Min Joung, Hyun, Heejung, Kim, Sunhee, Chang, Hyuk-Jae |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758227/ https://www.ncbi.nlm.nih.gov/pubmed/36526686 http://dx.doi.org/10.1038/s41598-022-26167-1 |
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