Feature based analysis of endometriosis using machine learning

<span lang="EN-US">Machine learning is a cutting-edge technology used for predicting and diagnosing various diseases. Various machine algorithm facilitates the prediction. The decision tree belongs to that performs both classification constructs tree-like evaluate best features. well in prediction of Endometriosis recurrence disease creates an emotional impact women. lump-like structure appears at several locations reproductive organs diagnosis endometriosis was predicted through scanning procedures laparoscopic procedures. symptoms identified from surgery were as features severity endometriosis. include mass-like structure, tissue size, variation colour, blockages fallopian tubes. analyze by using two criteria such entropy Gini index. index construct identifying size major influencing attributes. outperforms with training accuracy 84.08% test 84.85.</span>