Development of inpatient risk stratification models of acute kidney injury for use in electronic health records

Medical Decision Making

Volumn 30, Issue 6, 2010, Pages 639-650

  Matheny, Michael E ^a   Miller, Randolph A ^b   Ikizler, T Alp ^a   Waitman, Lemuel R ^c   Denny, Joshua C ^d   Schildcrout, Jonathan S ^c   Dittus, Robert S ^d   Peterson, Josh F ^d  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^d VANDERBILT UNIVERSITY   (United States)

Author keywords

artificial neural networks; clinical prediction rules; decision rules; pharmacoepidemiology; risk adjustment; risk stratification

Indexed keywords

ACUTE KIDNEY FAILURE; ADOLESCENT; ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONFIDENCE INTERVAL; DECISION SUPPORT SYSTEM; DIAGNOSIS RELATED GROUP; DISEASE COURSE; ECONOMICS; ELECTRONIC MEDICAL RECORD; FEMALE; HOSPITAL PATIENT; HUMAN; INSTRUMENTATION; LENGTH OF STAY; MALE; METHODOLOGY; MIDDLE AGED; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; RISK; RISK ASSESSMENT; RISK FACTOR; STATISTICAL MODEL; STATISTICS; UNITED STATES; VALIDATION STUDY;

ACUTE KIDNEY INJURY; ADOLESCENT; ADULT; AGED; AREA UNDER CURVE; CONFIDENCE INTERVALS; DECISION SUPPORT SYSTEMS, CLINICAL; DECISION SUPPORT TECHNIQUES; DIAGNOSIS-RELATED GROUPS; DISEASE PROGRESSION; FEMALE; HUMANS; INPATIENTS; LENGTH OF STAY; LOGISTIC MODELS; MALE; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; MIDDLE AGED; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); ODDS RATIO; PROGNOSIS; RETROSPECTIVE STUDIES; RISK ASSESSMENT; RISK FACTORS; ROC CURVE; TENNESSEE; YOUNG ADULT;

EID: 78650824776     PISSN: 0272989X     EISSN: 1552681X     Source Type: Journal    
DOI: 10.1177/0272989X10364246     Document Type: Article

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