Abstract
Data Mining aims is to extract maximum of knowledge automatically or semi-automatically from huge databases using interactive exploration tools. In this article, we focus on the exploration of medical data to study the case of analyzed sperm samples according to the criteria of the WHO (World Health Organization) using a powerful analysis tool for exploring the results of classification algorithms, clustering and regression. For this research, 100 volunteers provide a semen sample and they were also asked to complete a validated questionnaire on their lifestyle and health status. Sperm concentration is also linked to socio-demographic and environmental factors.
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Rhemimet, A., Raghay, S., Bencharef, O. (2016). Comparative Analysis of Classification, Clustering and Regression Techniques to Explore Men’s Fertility. In: El Oualkadi, A., Choubani, F., El Moussati, A. (eds) Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015. Lecture Notes in Electrical Engineering, vol 380. Springer, Cham. https://doi.org/10.1007/978-3-319-30301-7_48
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DOI: https://doi.org/10.1007/978-3-319-30301-7_48
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