Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 28, Pages: 1-10
Dimple Sethi, Prateek Agrawal*, Vishu Madaan and Sanjay Kumar Singh
School of Computer Science Engineering, [email protected]
*Author for correspondence
School of Computer Science Engineering
Inflammatory disease is the category which is discussed in this paper, early diagnosis of these diseases will help in proper treatment of the disease. The main disorders considered in this research are, Acute Cerviticis, Chronic Cerviticis, Acute Endometritis, Chronic Endometritis, Atrophic Endometeritis, Acute Salpingo-oophortis, Chronic Salpingo-oophoritis. The method employed is Fuzzy Logic and is implemented in MATLAB. In this research we make use of fuzzy logic to develop the fuzzy system for gynaecology. For testing purpose data of nearly 144 patients has been collected to verify the system. Various results obtained showed that the diagnosis of these disorders corresponding to the symptoms that were selected were successful. The data has been acquired and verified with the help of various experts like from Sanjeevani Hospital, Jalandhar, Arora Hospital, Kartarpur. With all these findings, it makes sure that the system will be beneficial not only in the case of cost effectiveness but also help in saving time and by calculating various values 96.1% of efficiency has been achieved.
Keywords: Acute, Cerviticis, Chronic, Diagnosis, Gynaecology Disorders
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