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

BMJ Open Respiratory Research

Volumn 4, Issue 1, 2017, Pages

  Shimabukuro, David W ^a   Barton, Christopher W ^a   Feldman, Mitchell D ^a   Mataraso, Samson J ^b,c,d   Das, Ritankar ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b University of California at Berkeley   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d DASCENA INC   (United States)

Author keywords

alerts; electronic health records; machine learning; patient monitoring; prediction; sepsis; severe sepsis

Indexed keywords

EID: 85052147470     PISSN: None     EISSN: 20524439     Source Type: Journal    
DOI: 10.1136/bmjresp-2017-000234     Document Type: Article

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