Understanding vasopressor intervention and weaning: Risk prediction in a public heterogeneous clinical time series database

Journal of the American Medical Informatics Association

Volumn 24, Issue 3, 2017, Pages 488-495

  Wu, Mike ^a   Ghassemi, Marzyeh ^b   Feng, Mengling ^b   Celi, Leo A ^b   Szolovits, Peter ^b   Doshi Velez, Finale ^c  

^a Yale University   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c HARVARD UNIVERSITY   (United States)

Author keywords

Autoregressive models; Electronic health records; Latent variable models; Risk prediction

Indexed keywords

HYPERTENSIVE FACTOR; VASOCONSTRICTOR AGENT;

ADULT; ARTICLE; CARDIOVASCULAR RISK; CLINICAL OUTCOME; DATA BASE; HUMAN; HYPOTENSION; INTENSIVE CARE UNIT; INTERVENTION STUDY; MAJOR CLINICAL STUDY; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; TIME SERIES ANALYSIS; TIME TO TREATMENT; WEANING; AREA UNDER THE CURVE; BIOLOGICAL MODEL; ELECTRONIC HEALTH RECORD; FACTUAL DATABASE; HOSPITAL MORTALITY; RISK ASSESSMENT;

AREA UNDER CURVE; DATABASES, FACTUAL; ELECTRONIC HEALTH RECORDS; HOSPITAL MORTALITY; HUMANS; INTENSIVE CARE UNITS; MODELS, BIOLOGICAL; RISK ASSESSMENT; VASOCONSTRICTOR AGENTS;

EID: 85019759969     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1093/jamia/ocw138     Document Type: Article

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