Prediction of sepsis in the intensive care unit with minimal electronic health record data: A machine learning approach

JMIR Medical Informatics

Volumn 4, Issue 3, 2016, Pages

  Desautels, Thomas ^a   Calvert, Jacob ^a   Hoffman, Jana ^a   Jay, Melissa ^a   Kerem, Yaniv ^b,c   Shieh, Lisa ^b   Shimabukuro, David ^d   Chettipally, Uli ^d,e   Feldman, Mitchell D ^d   Barton, Chris ^d   Wales, David J ^f   Das, Ritankar ^a  

^a DASCENA INC   (United States)

^b STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c KAISER PERMANENTE MEDICAL CENTER   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e KAISER PERMANENTE   (United States)

^f UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Clinical decision support systems; Electronic health records; Machine learning; Medical informatics; Sepsis

Indexed keywords

EID: 85018664128     PISSN: None     EISSN: 22919694     Source Type: Journal    
DOI: 10.2196/medinform.5909     Document Type: Article

References (21)

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