An Innovative System for Classifying Cervical Cancer Using Features Based ANFIS Classifier

Abstract

Cervical Cancer (CC) is one among the most vulnerable and exceedingly affected diseases among ladies around the globe. Usually, cells develop and divide to deliver more cells just when the body needs them. The proposed model exhibits cost sensitive classifiers that have three primary stages the principal stage is preprocessing the original data to set it up for classification model which is developed based on Adaptive Neuro Fuzzy Inference System (ANFIS) classifier. To enhance the classifying accuracy for determining the cervical cancer threat, we are considering Whale Optimization (WO) to select optimal features like both genetic and natural components. The motivation behind data mining is to discover some data which isnot specifically obvious or retrievable by perusing data or executing simple inquiries to the data. A precise and convenient prediction could maintain a strategic distance from any future issue at a specific level