Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning

PLoS ONE

Volumn 12, Issue 4, 2017, Pages

  Horng, Steven ^a   Sontag, David A ^b   Halpern, Yoni ^c   Jernite, Yacine ^d   Shapiro, Nathan I ^a   Nathanson, Larry A ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

^b Department of Electrical Engineering and Computer Science   (United States)

^c GOOGLE INC   (United States)

^d POLYTECHNIC UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AREA UNDER THE CURVE; ARTICLE; AUTOMATION; CALCULATION; CLINICAL DECISION MAKING; COHORT ANALYSIS; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; EMERGENCY WARD; FEMALE; HUMAN; ICD-9-CM; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; NURSING ASSESSMENT; OBSERVATIONAL STUDY; OUTCOME ASSESSMENT; PATIENT IDENTIFICATION; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; SEPSIS; SUPPORT VECTOR MACHINE; VISUAL ANALOG SCALE; AGED; CLINICAL DECISION SUPPORT SYSTEM; EMERGENCY HEALTH SERVICE; HOSPITAL EMERGENCY SERVICE; INTERNATIONAL CLASSIFICATION OF DISEASES; MIDDLE AGED; ORGANIZATION AND MANAGEMENT; PROCEDURES; VALIDATION STUDY;

ADULT; AGED; AUTOMATION; DECISION SUPPORT SYSTEMS, CLINICAL; EMERGENCY SERVICE, HOSPITAL; FEMALE; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; MACHINE LEARNING; MALE; MIDDLE AGED; RETROSPECTIVE STUDIES; TRIAGE;

EID: 85017113914     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0174708     Document Type: Article

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