The use of Data Mining in the categorization of patients with Azoospermia

Themistoklis Mikos, Konstantinos Pantazis, Dimitrios G. Goulis, Nikolaos Maglaveras, John N. Bontis, John Papadimas

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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 …

Impact of cancer and cancer treatment on male fertility

Ioannis Vakalopoulos, Petros Dimou, Ioannis Anagnostou, Theodosia Zeginiadou

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While cancer, and especially testicular cancer and Hodgkin’s disease, affects male fertility in many ways, the current increase of survival of male cancer patients of reproductive age or earlier has emerged as a new challenge to their subsequent ability to father children. Cancer treatments, including surgery, radiotherapy and chemotherapy …