Machine learning model predicts short-term mortality among prehospital patients: A prospective development study from Finland
Aim: To show whether adding blood glucose to the National Early Warning Score (NEWS) parameters in a machine learning model predicts 30-day mortality more precisely than the standard NEWS in a prehospital setting. Methods: In this study, vital sign data prospectively collected from 3632 unselected p...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-03-01
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Series: | Resuscitation Plus |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S266652042100014X |