Eirini Papageorgiou, Ioanna Kotsioni, Athena Linos
This issue hosts an article that discusses the application of Data mining techniques to the treatment of infertile men with azoospermia, and compares this procedure of categorisation into groups with the corresponding clinical categorisation…
Themistoklis Mikos, Konstantinos Pantazis, Dimitrios G. Goulis, Nikolaos Maglaveras, John N. Bontis, John Papadimas
OBJECTIVE: Data Mining is a relatively new field of Medical Informatics. The aim of this study was to compare Data Mining diagnosis with clinical diagnosis by applying a Data Miner (DM) to a clinical dataset of infertile men with azoospermia. DESIGN: One hundred and forty-seven azoospermic men were clinically classified into four groups …