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
Related Topics
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,