| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 6921125 | Computers in Biology and Medicine | 2015 | 9 Pages | 
Abstract
												The extraction of novel knowledge from clinical data and the definition of predictive models to support diagnosis, prognosis, and therapy is becoming an essential tool for researchers and clinical practitioners in medicine. The proposed comparative study of several data mining models for the outcome prediction in IgAN patients, using a large dataset of clinical records from three different countries, provides an insight into the relative prediction ability of the considered methods applied to such a disease.
											Keywords
												
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													Physical Sciences and Engineering
													Computer Science
													Computer Science Applications
												
											Authors
												M. Diciolla, G. Binetti, T. Di Noia, F. Pesce, F.P. Schena, A.M. Vågane, R. Bjørneklett, H. Suzuki, Y. Tomino, D. Naso, 
											