Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment

JAMA network open

Volumn 1, Issue 4, 2018, Pages e181018-

  Wong, Andrew ^a   Young, Albert T ^a   Liang, April S ^a   Gonzales, Ralph ^a   Douglas, Vanja C ^a   Hadley, Dexter ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; COGNITIVE DEFECT; COHORT ANALYSIS; DELIRIUM; EDUCATIONAL MODEL; ELECTRONIC HEALTH RECORD; FEMALE; FORECASTING; HOSPITALIZATION; HUMAN; MACHINE LEARNING; MALE; MIDDLE AGED; PROCEDURES; RETROSPECTIVE STUDY; RISK ASSESSMENT; VALIDATION STUDY; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; COGNITIVE DYSFUNCTION; COHORT STUDIES; DELIRIUM; ELECTRONIC HEALTH RECORDS; FEMALE; FORECASTING; HOSPITALIZATION; HUMANS; MACHINE LEARNING; MALE; MIDDLE AGED; MODELS, EDUCATIONAL; RETROSPECTIVE STUDIES; RISK ASSESSMENT; YOUNG ADULT;

EID: 85056656223     PISSN: None     EISSN: 25743805     Source Type: Journal    
DOI: 10.1001/jamanetworkopen.2018.1018     Document Type: Article

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