Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial

IntroductionSeveral methods have been developed to electronically monitor patients for severe sepsis, but few provide predictive capabilities to enable early intervention; furthermore, no severe sepsis prediction systems have been previously validated in a randomised study. We tested the use of a ma...

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Veröffentlicht in:	BMJ open respiratory research 2017-11, Vol.4 (1), p.e000234-e000234
Hauptverfasser:	Shimabukuro, David W, Barton, Christopher W, Feldman, Mitchell D, Mataraso, Samson J, Das, Ritankar
Format:	Artikel
Sprache:	eng
Schlagworte:	Critical Care
Online-Zugang:	Volltext
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