Abstract: One of the cardinal functions of the Ministry of Health is to monitor the attitude and behaviour of childbearing woman. When women have complete, unbiased information about their ovulation, they are empowered to make their own decision leading to healthy whole lives. A woman can use any of the existing modern fertility awareness methods to speculate or monitor her own ovulation and use this information to avoid or encourage a pregnancy. Many of these method which gives information based on observation, some mental or manual estimation, are usually associated with high level of risk and failure on decision making. Fertility Awareness for birth control theory has been investigated to explain the pathological basis of many medical conditions. This study presents a decision support model for fertility awareness method. It addresses the concept of ovulation and menstruation in women. The ovulation and menstrual cycle in women is statistically modeled and software that is capable of analyzing the ovulation characteristic behaviour of a woman and its menstruation period is developed. An implementation is carried out and the tabulated results from the software can equip women with complete, unbiased information on possible date of ovulation and menstruation period within a specified period thereby encouraging precise decision making with regard to fertility measurement to avoid or encourage pregnancy. The software has the basic components of knowledge base, model base and user interface.
Olabode Olatubosun and O. Solanke Olakunle , 2007. Simulation Model for Fertility Awarness Method. Research Journal of Applied Sciences, 2: 1100-1105.