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Machine learning for early prediction of in‐hospital cardiac arrest in patients with acute coronary syndromes
BACKGROUND: Previous studies have used machine leaning to predict clinical deterioration to improve outcome prediction. However, no study has used machine learning to predict cardiac arrest in patients with acute coronary syndrome (ACS). Algorithms are required to generate high‐performance models fo...
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| Publicado no: | Clin Cardiol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley Periodicals, Inc.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7943901/ https://ncbi.nlm.nih.gov/pubmed/33586214 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/clc.23541 |
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