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Analyzing Lifestyle and Environmental Factors on Semen Fertility using Association Rule Mining

Year: 2014

Type: article

Abstract: 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

Source: Journals & Books Hosting (International Knowledge Sharing Platform)

Authors: Mohammad Anwar, Naseer Ahmed

Language: English

Topic: Data Mining Algorithms and Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W1566719716

FWCI: 1.153

Cites: 15

Cited by: 5

Related to: 10