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Machine learning model predicts short-term mortality among prehospital patients: A prospective development study from Finland
AIM: To show whether adding blood glucose to the National Early Warning Score (NEWS) parameters in a machine learning model predicts 30-day mortality more precisely than the standard NEWS in a prehospital setting. METHODS: In this study, vital sign data prospectively collected from 3632 unselected p...
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| Publicado en: | Resusc Plus |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Elsevier
2021
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8244527/ https://ncbi.nlm.nih.gov/pubmed/34223354 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.resplu.2021.100089 |
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