Development and validation of new glomerular filtration rate predicting models for Chinese patients with type 2 diabetes

Journal of Translational Medicine

Volumn 13, Issue 1, 2015, Pages

  Chen, Jinxia ^a,b   Tang, Hua ^a   Huang, Hui ^c   Lv, Linsheng ^a   Wang, Yanni ^a   Liu, Xun ^a   Lou, Tanqi ^a  

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

^b GUANGDONG MEDICAL UNIVERSITY   (China)

^c SUN YAT SEN UNIVERSITY   (China)

Author keywords

Artificial neural network; Body mass index; Glomerular filtration rate; Serum creatinine; Type 2 diabetes

Indexed keywords

CREATININE; PENTETATE TECHNETIUM TC 99M; ALBUMINOID; BETA 2 MICROGLOBULIN; CYSTATIN C; GLYCOSYLATED HEMOGLOBIN; HEMOGLOBIN A1C PROTEIN, HUMAN; INULIN;

ADULT; AGE; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BODY MASS; CALIBRATION; CHINESE; CLINICAL FEATURE; CONTROLLED STUDY; CREATININE BLOOD LEVEL; FEMALE; GLOMERULUS FILTRATION RATE; HUMAN; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ACCURACY; NON INSULIN DEPENDENT DIABETES MELLITUS; PREDICTION; SEX DIFFERENCE; STATISTICAL MODEL; VALIDATION STUDY; BLOOD; CHINA; COMPLICATION; DIABETES MELLITUS, TYPE 2; MACHINE LEARNING; METABOLISM; MIDDLE AGED; RANDOMIZATION; REGRESSION ANALYSIS; RENAL INSUFFICIENCY, CHRONIC; REPRODUCIBILITY;

ADULT; AGED; ALBUMINS; BETA 2-MICROGLOBULIN; BODY MASS INDEX; CHINA; CREATININE; CYSTATIN C; DIABETES MELLITUS, TYPE 2; FEMALE; GLOMERULAR FILTRATION RATE; HEMOGLOBIN A, GLYCOSYLATED; HUMANS; INULIN; MACHINE LEARNING; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); RANDOM ALLOCATION; REGRESSION ANALYSIS; RENAL INSUFFICIENCY, CHRONIC; REPRODUCIBILITY OF RESULTS;

EID: 84942304336     PISSN: None     EISSN: 14795876     Source Type: Journal    
DOI: 10.1186/s12967-015-0674-y     Document Type: Article

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