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...

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Bibliographic Details
Main Authors: Joonas Tamminen, Antti Kallonen, Sanna Hoppu, Jari Kalliomäki
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:Resuscitation Plus
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S266652042100014X