Predicting intensive care unit admission among patients presenting to the emergency department using machine learning and natural language processing
The risk stratification of patients in the emergency department begins at triage. It is vital to stratify patients early based on their severity, since undertriage can lead to increased morbidity, mortality and costs. Our aim was to present a new approach to assist healthcare professionals at triage...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2020
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| Online Access: | https://hdl.handle.net/1721.1/125727 |