A comparison of the performances of an artificial neural network and a regression model for GFR estimation

American Journal of Kidney Diseases

Volumn 62, Issue 6, 2013, Pages 1109-1115

  Liu, Xun ^a,b   Li, Ning Shan ^a,c   Lv, Lin Sheng ^a   Huang, Jian Hua ^c   Tang, Hua ^a   Chen, Jin Xia ^a   Ma, Hui Juan ^a   Wu, Xiao Ming ^b   Lou, Tan Qi ^a  

^a SUN YAT SEN UNIVERSITY   (China)

^b SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^c Chengdu Cancer Hospital   (China)

Author keywords

artificial neural network; Chronic kidney disease; glomerular filtration rate; prediction

Indexed keywords

CREATININE; PENTETIC ACID;

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BODY HEIGHT; BODY MASS; BODY SURFACE; BODY WEIGHT; CHRONIC KIDNEY DISEASE; CREATININE BLOOD LEVEL; DIABETES MELLITUS; EXTERNAL VALIDITY; FEMALE; GLOMERULUS FILTRATION RATE; HUMAN; INTERMETHOD COMPARISON; INTERNAL VALIDITY; ISOTOPE DILUTION ASSAY; MAJOR CLINICAL STUDY; MALE; MASS SPECTROMETRY; REGRESSION ANALYSIS; AGED; COHORT ANALYSIS; KIDNEY FUNCTION TEST; MIDDLE AGED; PHYSIOLOGY; PREDICTIVE VALUE; REPRODUCIBILITY; STATISTICS AND NUMERICAL DATA; VALIDATION STUDY;

ADULT; AGED; COHORT STUDIES; FEMALE; GLOMERULAR FILTRATION RATE; HUMANS; KIDNEY FUNCTION TESTS; LEAST-SQUARES ANALYSIS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS;

EID: 84888322655     PISSN: 02726386     EISSN: 15236838     Source Type: Journal    
DOI: 10.1053/j.ajkd.2013.07.010     Document Type: Article

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