Using artificial intelligence to predict the equilibrated postdialysis blood urea concentration

Blood Purification

Volumn 19, Issue 3, 2001, Pages 271-285

  Fernández, Elmer A ^a   Valtuille, Rodolfo ^b   Willshaw, Peter ^a   Perazzo, Carlos A ^a  

^a FAVALORO UNIVERSITY   (Argentina)

^b RTC Dialysis Centers Adrogue and Monte Grande   (Argentina)

Author keywords

Artificial intelligence; Hemodialysis; Multilayer perceptron; Neural networks; Prediction; Urea rebound

Indexed keywords

UREA;

ADULT; AGED; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL INTELLIGENCE; CLINICAL OBSERVATION; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DOSE TIME EFFECT RELATION; EQUILIBRIUM DIALYSIS; FEMALE; HEMODIALYSIS; HUMAN; MAJOR CLINICAL STUDY; MALE; MORBIDITY; MORTALITY; MULTICENTER STUDY; NERVE CELL NETWORK; PRIORITY JOURNAL; UREA BLOOD LEVEL;

ADULT; AGED; ARTIFICIAL INTELLIGENCE; FEMALE; HUMANS; MALE; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; RENAL DIALYSIS; UREA;

EID: 0035107576     PISSN: 02535068     EISSN: None     Source Type: Journal    
DOI: 10.1159/000046955     Document Type: Article

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