A FUZZY EXPERT SYSTEM TO MONITOR PREGNANCY

Pregnancy is the most important natural phenomena in maternal life, which is a critical issue and stands to lead mothers and newborn child to death. World Health Organization stated that each year, nearly 300,000 women die from complications of pregnancy and childbirth, and an estimated three million newborns die within the first month of life. According to Ethiopian's context, the ratio of medical practitioner to the patient is imbalanced and difficult to treat, diagnosis as well as screen checkup of pregnancy for mothers due to lack of intelligent technologies. The main objective of this study was to develop a fuzzy expert system to monitor pregnancy for mother's safety care and describe its risk possibility in terms of linguistic terms. To achieve this, we used a Mamdani fuzzy modeling system. In order to describe the fuzzy logic concepts, we used seven input variables with their corresponding linguistic terms to emphasis the degree of membership functions. This study followed a design science research type to articulate artifacts and discovering new innovations regarding to intelligent technologies to the domain area. For the evaluation purpose, we used user acceptance evaluation which was evaluated by five evaluators selected from the hospital and they evaluated based on eight closed questions and open-ended and its accuracy performance was 90.20%. The evaluators were selected based on qualification, experience and field of specialization. The system testing evaluation method depend on pregnancy sample dataset to predict the risk possibility of pregnancy using Random Forest algorithm and expressed as seven linguistic terms. The evaluation metrics are 94.23% ,95.00%, 93.00, 94.00%, accuracy, precision, recall and f-measure respectively. To get the system testing, we used pregnancy sample dataset collected and prepared from Assosa General Hospital. The finding of this research can support pregnant mothers to minimize pregnancy risk status happen during pregnancy and create awareness of using intelligent technologies. It also helpful for physicians and doctors in the healthcare system to give right way of decision-making process and facilitate the curing style of pregnant during pregnancy time.