Patient classification and outcome prediction in IgA nephropathy

Abstract Objective IgA Nephropathy (IgAN) is a common kidney disease which may entail renal failure, known as End Stage Kidney Disease (ESKD). One of the major difficulties dealing with this disease is to predict the time of the long-term prognosis for a patient at the time of diagnosis. In fact, th...

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Veröffentlicht in:	Computers in biology and medicine 2015-11, Vol.66, p.278-286
Hauptverfasser:	Diciolla, M, Binetti, G, Di Noia, T, Pesce, F, Schena, F.P, Vågane, A.M, Bjørneklett, R, Suzuki, H, Tomino, Y, Naso, D
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Age Aged Algorithms Artificial neural network Biopsy Classification Cohort Studies Confidence intervals Creatinine - blood Data Collection Data mining Data Mining - methods Datasets Decision support system Decision support systems Decision Support Techniques Decision tree Decision Trees Design Disease Female Fuzzy Logic Gender Glomerulonephritis, IGA - diagnosis Humans Hypertension IgA Nephropathy Internal Medicine Internet Kidney Failure, Chronic - diagnosis Male Middle Aged Multivariate Analysis Neural networks Neural Networks (Computer) Neuro fuzzy system Other Proteinuria - urine Reproducibility of Results Studies Support Vector Machine Transplants & implants Treatment Outcome Variables Young Adult
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