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Predicting 72-hour and 9-day return to the emergency department using machine learning
OBJECTIVES: To predict 72-h and 9-day emergency department (ED) return by using gradient boosting on an expansive set of clinical variables from the electronic health record. METHODS: This retrospective study included all adult discharges from a level 1 trauma center ED and a community hospital ED c...
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| 發表在: | JAMIA Open |
|---|---|
| Main Authors: | , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Oxford University Press
2019
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6951979/ https://ncbi.nlm.nih.gov/pubmed/31984367 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamiaopen/ooz019 |
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