Random forest machine learning method outperforms prehospital National Early Warning Score for predicting one-day mortality: A retrospective study

The National Early Warning Score (NEWS) is a validated method for predicting clinical deterioration in hospital wards, but its performance in prehospital settings remains controversial. Modern machine learning models may outperform traditional statistical analyses for predicting short-term mortality...

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Vydané v:	Resuscitation plus Ročník 4; s. 100046
Hlavní autori:	Pirneskoski, Jussi, Tamminen, Joonas, Kallonen, Antti, Nurmi, Jouni, Kuisma, Markku, Olkkola, Klaus T., Hoppu, Sanna
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.12.2020 Elsevier
Predmet:	Cardiac arrest prevention Clinical Paper Early warning score Emergency Emergency medical services Machine learning National Early Warning Score NEWS Prehospital Random forest Early warning score Cardiac arrest prevention NEWS Machine learning Random forest National Early Warning Score Emergency medical services Prehospital
ISSN:	2666-5204, 2666-5204
On-line prístup:	Získať plný text
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