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An Explainable Machine-Learning Model for Compensatory Reserve Measurement: Methods for Feature Selection and the Effects of Subject Variability
Tracking vital signs accurately is critical for triaging a patient and ensuring timely therapeutic intervention. The patient’s status is often clouded by compensatory mechanisms that can mask injury severity. The compensatory reserve measurement (CRM) is a triaging tool derived from an arterial wave...
Main Authors: | , , , , |
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Format: | Online Article Text |
Language: | English |
Published: |
MDPI
2023
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Subjects: | |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215239/ https://www.ncbi.nlm.nih.gov/pubmed/37237682 http://dx.doi.org/10.3390/bioengineering10050612 |