Identification of Postpartum Infection Type using Mamdani Fuzzy System

摘要

Puerperal infection is an inflammation of all the tools genitalia during parturition. It causes of maternal mortality by 11%. There are seven types of infections in the puerperium period that are characterized by similar symptoms. The role of health workers is significant in providing the right diagnosis and treatment of these symptoms. However, due to limited obstetricians and health workers, delays in handling the infection often occur. Early diagnosis of puerperal infection can overcome the delay in treatment. In this paper, we propose assistance in the early diagnosis of postpartum infection based on physical arisen symptoms, such as temperature, nausea, chills, sore legs, abdominal pain, wound pain, swelling, lochia, age, and general condition. Mamdani Fuzzy system is used to handle it. The test system is conducted with 40 patient data with postpartum infection. Twenty data use to determine the rule, while the rest use as testing data. The results showed the identification accuracy rate by 90%.