From vital signs to clinical outcomes for patients with sepsis: A machine learning basis for a clinical decision support system

Journal of the American Medical Informatics Association

Volumn 21, Issue 2, 2014, Pages 315-325

  Gultepe, Eren ^a   Green, Jeffrey P ^b   Nguyen, Hien ^b   Adams, Jason ^b   Albertson, Timothy ^b,c   Tagkopoulos, Ilias ^a,d  

^a University of California   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c VA NORTHERN CALIFORNIA HEALTH CARE SYSTEM   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL DECISION SUPPORT; ELECTRONIC HEALTH RECORDS; LACTATE LEVEL PREDICTION; MACHINE LEARNING; MORTALITY PREDICTION; SEPSIS;

ADULT; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DECISION SUPPORT SYSTEMS, CLINICAL; ELECTRONIC HEALTH RECORDS; HUMANS; LACTIC ACID; LEUKOCYTE COUNT; MARKOV CHAINS; PROGNOSIS; ROC CURVE; SEPSIS; SEVERITY OF ILLNESS INDEX; SUPPORT VECTOR MACHINES; TREATMENT OUTCOME; VITAL SIGNS;

EID: 84894101089     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-001815     Document Type: Article

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