Optimizing administrative datasets to examine acute kidney injury in the era of big data: Workgroup statement from the 15th ADQI Consensus Conference

Canadian Journal of Kidney Health and Disease

Volumn 3, Issue 1, 2016, Pages

  Siew, Edward D ^a,b   Basu, Rajit K ^c   Wunsch, Hannah ^d   Shaw, Andrew D ^b   Goldstein, Stuart L ^e   Ronco, Claudio ^f   Kellum, John A ^g   Bagshaw, Sean M ^h  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^c UNIVERSITY OF CINCINNATI   (United States)

^d UNIVERSITY OF TORONTO   (Canada)

^e CINCINNATI CHILDREN'S HOSPITAL MEDICAL CENTER   (United States)

^f SAN BORTOLO HOSPITAL   (Italy)

^g UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^h UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE KIDNEY FAILURE; CLINICAL TRIAL (TOPIC); DATA BASE; DATA PROCESSING; DELPHI STUDY; DIALYSIS; DISEASE COURSE; DISEASE SEVERITY; HOSPITALIZATION; HUMAN; KIDNEY FUNCTION; KIDNEY TUBULE NECROSIS; OUTCOME ASSESSMENT; PATIENT CARE; PRIORITY JOURNAL; PUBLIC HEALTH; RANDOMIZED CONTROLLED TRIAL (TOPIC); REVIEW; SEPSIS;

EID: 84998996736     PISSN: None     EISSN: 20543581     Source Type: Journal    
DOI: 10.1186/s40697-016-0098-5     Document Type: Review

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