An Intelligent Expert System Models to Predict and Diagnostic Breast Cancer Disease Using Bigdata Analytics

Abstract

Nowadays, People couldn't care less about their wellbeing because of occupied timetable in way of life. In that case of situation, all things considered of circumstance, big data assumes a significant part to give a compelling arrangement through observing and monitoring the health of the patient in hospital and clinic. Clinical areas are rich information source should have been coordinated effectively and helpfully. Sickness reports records are utilized for social occasion business insight and recognizing key patterns in innovation improvement. Cancer is a collection of diseases that may affect any body-parts such as breast. Breast cancer is the most dangerous problem that makes increasing a number of deaths. Breast cancer is most important problem of women’s deaths world. The essential location of breast cancer is mammography because of unaided eye forecast of the disease by radiologist, they propose for the following conclusion like biopsy, PET etc. These tests are taken more time and high cost effective. BigData analytics technique is applied on breast cancer dataset to determine the stage of breast cancer. The accuracy of different classification techniques such as Support Vector Machine (SVM), Decision Tree, Naive Bayes (NB), k Nearest Neighbors (k-NN), Classification and Regression Trees (CART) , Random forest classifier and Logistic regression is calculated based on Wisconsin Breast Cancer (original) dataset and the model providing high accuracy is used to predict stage of cancer.