Predicting Inpatient Acute Kidney Injury over Different Time Horizons: How Early and Accurate?

AMIA ... Annual Symposium proceedings. AMIA Symposium

Volumn 2017, Issue , 2017, Pages 565-574

  Cheng, Peng ^a,b   Waitman, Lemuel R ^a   Hu, Yong ^c   Liu, Mei ^a  

^a UNIVERSITY OF KANSAS MEDICAL CENTER   (United States)

^b SOUTHWEST UNIVERSITY   (China)

^c JINAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE KIDNEY FAILURE; ADULT; ELECTRONIC HEALTH RECORD; FEMALE; HOSPITALIZATION; HUMAN; MACHINE LEARNING; MALE; MIDDLE AGED; RISK FACTOR; THEORETICAL MODEL; UNIVERSITY HOSPITAL; YOUNG ADULT;

ACADEMIC MEDICAL CENTERS; ACUTE KIDNEY INJURY; ADULT; ELECTRONIC HEALTH RECORDS; FEMALE; HOSPITALIZATION; HUMANS; MACHINE LEARNING; MALE; MIDDLE AGED; MODELS, THEORETICAL; RISK FACTORS; YOUNG ADULT;

EID: 85058726453     PISSN: None     EISSN: 1942597X     Source Type: Journal    
DOI: None     Document Type: Article

References (0)