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Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review
BACKGROUND: The primary objective of this review is to assess the accuracy of machine learning methods in their application of triaging the acuity of patients presenting in the Emergency Care System (ECS). The population are patients that have contacted the ambulance service or turned up at the Emer...
保存先:
| 出版年: | Diagn Progn Res |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7531169/ https://ncbi.nlm.nih.gov/pubmed/33024830 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s41512-020-00084-1 |
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