Rule-based Inferencing System for Infertility Diagnosis in Women

Childlessness among married couples is a rising problem in India. One of the major factors of childlessness is due to being infertile of either one or both of wife or husband. Infertility refers to the failure of a couple to become pregnant after one year of regular unprotected sexual intercourse. Infertility is a life crisis with invisible losses, and its consequences are manifold. This paper is intended to propose a rule-based inferencing of infertility diagnosis of women using Java Expert System Shell (JESS). Such a system is essential because the percentage of childlessness due to infertility is rising very high these days in India. This framework is aimed to enhance the existing tools used to identify and diagnose infertility problems in Women in the state of Manipur. We have implemented here the user interface component using Java, the knowledge base of the system using the Java Expert System Shell (JESS) and the Java IDE of Netbeans 7.0 while the database component is using SQL. The proposed framework can be used as guidelines for infertility diagnosis for women to assists the physicians with their daily practices and women who had infertility problems.