Comparison of standard and artificial neural network estimators of hemodialysis adequacy

Artificial Organs

Volumn 29, Issue 2, 2005, Pages 159-165

  Fernández, Elmer Andrés ^a,e   Valtuille, Rodolfo ^b   Presedo, Jesus Rodriguez ^c   Willshaw, Peter ^d  

^a UNIVERSIDAD CATÓLICA DE CÓRDOBA   (Argentina)

^b Fresenius Medical Care Burzaco   (Argentina)

^c UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

^d SWANSEA UNIVERSITY   (United Kingdom)

^e Universidad Católica de Córdoba ^*  (Argentina)

Author keywords

Artificial intelligence; Diagnostic tools; Hemodialysis adequacy; Neural networks

Indexed keywords

DIAGNOSIS; HEMODIALYZERS; METABOLISM; NEURAL NETWORKS; UREA;

DIAGNOSTICS TOOLS; DOSE ESTIMATIONS; FALSE POSITIVE RATES; GOLD STANDARDS; HAEMODIALYSIS; HEMODIALYSIS ADEQUACY; HEMODIALYSIS DOSE; MEASUREMENTS OF; NEURAL NETWORK ESTIMATORS; NEURAL-NETWORKS;

DIALYSIS;

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLOOD ANALYSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; FEMALE; HEMODIALYSIS; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; UREA BLOOD LEVEL; BIOLOGICAL MODEL; BLOOD; CLINICAL TRIAL; COMPARATIVE STUDY; MIDDLE AGED; MULTICENTER STUDY; PREDICTION AND FORECASTING; REFERENCE VALUE; RENAL REPLACEMENT THERAPY; STANDARD;

UREA;

ADULT; AGED; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; REFERENCE VALUES; RENAL DIALYSIS; UREA;

EID: 20544458070     PISSN: 0160564X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1525-1594.2005.29027.x     Document Type: Article

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