Analytics for the quality of fertility data using particle swarm optimization

Abstract

In today's faced paced life, diseases and medical problems which were only confined to the elderly are slowly becoming common among the younger lot. These medical problems which are induced due to factors such as behavioural habits, eating habits, environmental factors, allergies and the lifestyle of individuals are termed as lifestyle diseases. Male fertility has slowly been degrading due to this. It has been a surge of cases of fertility and mortality degradation of semen which are correlated to the unhealthy and undisciplined lifestyles of the individuals. Studies have been conducted in the past to analyze the scenario through medical and clinical tests. Non-medical behavioural and lifestyle aspects were studied and analyses were based on it. It was found out that non medical aspects also effect male fertility and there is an correlation between the two. In this paper the seminal quality is determine with the help of clustering techniques and validate using different classification techniques.