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Improved Risk Prediction Following Surgery Using Machine Learning Algorithms
BACKGROUND: Machine learning is used to analyze big data, often for the purposes of prediction. Analyzing a patient’s healthcare utilization pattern may provide more precise estimates of risk for adverse events (AE) or death. We sought to characterize healthcare utilization prior to surgery using ma...
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| Publicado no: | EGEMS (Wash DC) |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Ubiquity Press
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5983054/ https://ncbi.nlm.nih.gov/pubmed/29881747 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.13063/2327-9214.1278 |
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