Estimating the Semen Quality from Life Style Using Fuzzy Radial Basis Functions

Abstract

Infertility is a major problem that directly affects many people worldwide. In recent years, fertility rates have decreased by up to 15% in young men. Changing living conditions, stress levels, environmental factors and nutritional habits play an important role in infertility. This paper suggests a novel method to estimate semen quality from lifestyle, environmental factors and daily habits using radial basis function neural networks. The accuracy of the suggested method was measured as 90%. The results show that the proposed method can be applied as a practical, fast and cheap alternative method to laboratory tests.