The development of a machine learning inpatient acute kidney injury prediction model

Critical Care Medicine

Volumn 46, Issue 7, 2018, Pages 1070-1077

  Koyner, Jay L ^a   Carey, Kyle A ^a   Edelson, Dana P ^a   Churpek, Matthew M ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

Acute kidney injury; Biomarker; Electronic health record; Risk assessment

Indexed keywords

ANTIINFECTIVE AGENT; CREATININE; DIURETIC AGENT; FRESH FROZEN PLASMA; INOTROPIC AGENT; INSULIN; NITROGEN; ORAL ANTIDIABETIC AGENT; PROTON PUMP INHIBITOR; UREA; VASOACTIVE AGENT;

ABDOMINAL RADIOGRAPHY; ACUTE KIDNEY FAILURE; ADULT; ARTERIAL OXYGEN TENSION; ARTICLE; ARTIFICIAL VENTILATION; BLOOD CULTURE; COHORT ANALYSIS; CREATININE BLOOD LEVEL; CRYOPRECIPITATE; DIAGNOSTIC ACCURACY; ECHOCARDIOGRAPHY; ELECTROCARDIOGRAM; ELECTRONIC HEALTH RECORD; EMERGENCY WARD; ERYTHROCYTE CONCENTRATE; FEMALE; HOSPITAL ADMISSION; HOSPITAL MORTALITY; HOSPITAL PATIENT; HUMAN; INJURY SEVERITY; INTENSIVE CARE UNIT; LENGTH OF STAY; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; OBSERVATIONAL STUDY; OXYGEN SATURATION; PREDICTIVE VALUE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RENAL REPLACEMENT THERAPY; RISK ASSESSMENT; RISK FACTOR; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY; THROMBOCYTE TRANSFUSION; UREA NITROGEN BLOOD LEVEL; VITAL SIGN; WARD; X-RAY COMPUTED TOMOGRAPHY; ALGORITHM; AREA UNDER THE CURVE; BLOOD; REPRODUCIBILITY; STATISTICAL MODEL;

ACUTE KIDNEY INJURY; ALGORITHMS; AREA UNDER CURVE; CREATININE; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; MACHINE LEARNING; MALE; MIDDLE AGED; MODELS, STATISTICAL; RENAL REPLACEMENT THERAPY; REPRODUCIBILITY OF RESULTS; ROC CURVE;

EID: 85053003984     PISSN: 00903493     EISSN: 15300293     Source Type: Journal    
DOI: 10.1097/CCM.0000000000003123     Document Type: Article

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