Usefulness of artificial neural networks to predict follow-up dietary protein intake in hemodialysis patients

Kidney International

Volumn 66, Issue 1, 2004, Pages 399-407

  Gabutti, Luca ^a   Burnier, Michel ^b   Mombelli, Giorgio ^b   Malé, Francesca ^b   Pellegrini, Lisa ^b   Marone, Claudio ^b  

^a Ospedale La Carita   (Switzerland)

^b NONE

Author keywords

Artificial neural networks; Hemodialysis; Prediction; Protein catabolic rate

Indexed keywords

ACCURACY; ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; CHEMICAL ANALYSIS; CLINICAL OBSERVATION; COMPARATIVE STUDY; CONTROLLED STUDY; CORRELATION ANALYSIS; DIETARY INTAKE; EVALUATION; FOLLOW UP; HEMODIALYSIS; HEMODIALYSIS PATIENT; HUMAN; LINEAR REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MATHEMATICAL MODEL; NEPHROLOGY; PERFORMANCE; POLYMERASE CHAIN REACTION; POPULATION SIZE; PREDICTION; PRIORITY JOURNAL; PROSPECTIVE STUDY; PROTEIN INTAKE; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY;

EID: 3042806768     PISSN: 00852538     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1523-1755.2004.00744.x     Document Type: Article

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