Predictors of in-hospital mortality after rapid response team calls in a 274 hospital nationwide sample

Critical Care Medicine

Volumn 46, Issue 7, 2018, Pages 1041-1048

  Shappell, Claire ^a   Snyder, Ashley ^a   Edelson, Dana P ^a   Churpek, Matthew M ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

Hospital medical emergency team; Hospital rapid response team; Machine learning; Risk assessment

Indexed keywords

ADULT; AGED; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; BREATHING RATE; CONTROLLED STUDY; DEATH; EMERGENCY HEALTH SERVICE; FEMALE; HOSPITAL MORTALITY; HOSPITALIZATION; LENGTH OF STAY; MACHINE LEARNING; MALE; NONHUMAN; OUTCOME ASSESSMENT; PRACTICE GUIDELINE; PREDICTION; RAPID RESPONSE TEAM; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SYSTOLIC BLOOD PRESSURE; AREA UNDER THE CURVE; EPIDEMIOLOGY; HOSPITAL; HUMAN; MIDDLE AGED; RISK FACTOR; STATISTICAL MODEL; UNITED STATES; VERY ELDERLY;

AGED; AGED, 80 AND OVER; AREA UNDER CURVE; FEMALE; HOSPITAL MORTALITY; HOSPITAL RAPID RESPONSE TEAM; HOSPITALS; HUMANS; MACHINE LEARNING; MALE; MIDDLE AGED; MODELS, STATISTICAL; RISK FACTORS; ROC CURVE; TRIAGE; UNITED STATES;

EID: 85050117845     PISSN: 00903493     EISSN: 15300293     Source Type: Journal    
DOI: 10.1097/CCM.0000000000002926     Document Type: Article

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