Analyzing Lifestyle and Environmental Factors on Semen Fertility using Association Rule Mining
Mohammad Anwar, Naseer Ahmed · Journals & Books Hosting (International Knowledge Sharing Platform) · 2014
The data mining has been used to extract hidden knowledge more effectively for analysis of business, academic, agricultural, as well as medical data in contrast to the predefined queries or reports. This paper presents the impacts of lifestyle and environmental factors of a man on the fertility and quality of semen using association rule mining. The association rules have been mined from data collected by a normalized questionnaire from young volunteers and are found to be useful in predicting the quality of semen based on individual’s lifestyle and environmental factors. Keywords: Association rules, Knowledge Discovery, Fertility potential, Rule confidence