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Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection
BACKGROUND: The key aim of triage in chest pain patients is to identify those with high risk of adverse cardiac events as they require intensive monitoring and early intervention. In this study, we aim to discover the most relevant variables for risk prediction of major adverse cardiac events (MACE)...
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| Auteurs principaux: | , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2014
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4150554/ https://ncbi.nlm.nih.gov/pubmed/25150702 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-14-75 |
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