Design of Calculator for Predicting the Risk of Urinary Incontinence in Patients with Moderate to Severe Prolapse for Pelvic Organs prolaps surgery Candidate

Abstract

Abstract Introduction: Pelvic organ prolapse (POP) and stress urinary incontinence (SUI) are common disorders in women's health and quality of life. In 50% of cases, SUI occurs after POP surgery, which is called de novo SUI. Predicting risks of de novo SUI is also a complex multi-attribute decision-making (MADM) process. Object:the present study provided a Decision Support System (DSS) in the form of an online fuzzy calculator as a web-based application to help surgeons predict risks of de novo SUI. Methods: Initially, a systematic review study was designed to determine risk factors.Following a focus group meeting, all risk factors and features were prioritized at two levels. A set of 232 fuzzy rolls was designed to predict the new SUI for women over the age of 50 who had no symptoms of urinary incontinence and underwent surgery. Finally, the proposed results of the forecasting system were compared with the results of retrospective files. Results: 12 risk factors and Characteristic were identified through a systematic review study.The results of this online calculator show that the accuracy of this risk predictor model that compared to other SUI risk prediction models, is more than 90% . The sensitivity , specificity and Accuracy of the final system were reported to be 96.29% and 66.66%, 93.33%, respectively. Conclusion:A fuzzy logic-based clinical DSS in the form of an online calculator for calculating SUI prognosis after POP surgery in women can be helpful in predicting and preventing de novo SUI.