Development of a machine learning-based acuity score prediction model for virtual care settings
Abstract Objective Healthcare is increasingly digitized, yet remote and automated machine learning (ML) triage prediction systems for virtual urgent care use remain limited. The Canadian Triage and Acuity Scale (CTAS) is the gold standard triage tool for in-person care in Canada. The current work de...
Main Authors: | Justin N. Hall, Ron Galaev, Marina Gavrilov, Shawn Mondoux |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-10-01
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Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-023-02307-z |
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