Machine learning models predicting undertriage in telephone triage
Background Undertriaged patients have worse outcomes than appropriately triaged patients. Machine learning provides better triage prediction than conventional triage in emergency departments, but no machine learning-based undertriage prediction models have yet been developed for prehospital telephon...
Main Authors: | Ryota Inokuchi, Masao Iwagami, Yu Sun, Ayaka Sakamoto, Nanako Tamiya |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2022-12-01
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Series: | Annals of Medicine |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/07853890.2022.2136402 |
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