Symptoms based endometriosis prediction using machine learning

Endometriosis a painful disorder that stripes the uterus both inside and outside. can be diagnosed by medical practitioners with help of traditional scanning procedures. Laparoscopic surgery is authentic method for identifying advanced stages endometriosis. The statistical approach state-of-art various endometriosis using laparoscopic images. paper focuses on well-known known as chi-square correlation coefficients are implemented symptoms correlated Chi-square analysis performs association between With these analysis, an algorithm was proposed prediction factor (EPF). EPF predicts presence if derived value greater than 1. From it identified mild influenced 34% menstrual flow, minimal 40% dysmenorrhea, where moderate 31% tenderness deep infiltrating 22% adnexal mass.