Improved Glomerular Filtration Rate Estimation by an Artificial Neural Network

PLoS ONE

Volumn 8, Issue 3, 2013, Pages

  Liu, Xun ^a,b   Pei, Xiaohua ^c   Li, Ningshan ^b,d   Zhang, Yunong ^e   Zhang, Xiang ^f   Chen, Jinxia ^a   Lv, Linsheng ^a   Ma, Huijuan ^a   Wu, Xiaoming ^b   Zhao, Weihong ^c   Lou, Tanqi ^a  

^a THE THIRD AFFILIATED HOSPITAL OF SUN YAT SEN UNIVERSITY   (China)

^b SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^c THE FIRST AFFILIATED HOSPITAL OF NANJING MEDICAL UNIVERSITY   (China)

^d Chengdu Cancer Hospital   (China)

^e SUN YAT SEN UNIVERSITY   (China)

^f People's Hospital of Jieyang City   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CREATININE; NITROGEN; UREA;

ACCURACY; ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BODY MASS; BODY SURFACE; CHRONIC KIDNEY DISEASE; CONTROLLED STUDY; CREATININE BLOOD LEVEL; CROSS-SECTIONAL STUDY; EXTERNAL VALIDITY; FEMALE; GENETIC ALGORITHM; GLOMERULUS FILTRATION RATE; HUMAN; INTERNAL VALIDITY; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PROCESS OPTIMIZATION; RADIAL BASED FUNCTION; UREA BLOOD LEVEL; VALIDATION PROCESS;

ADULT; AGED; ALGORITHMS; CROSS-SECTIONAL STUDIES; FEMALE; GLOMERULAR FILTRATION RATE; HUMANS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); RENAL INSUFFICIENCY, CHRONIC; REPRODUCIBILITY OF RESULTS;

EID: 84874838201     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0058242     Document Type: Article

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