INTERNET OF MEDICAL THINGS ENABLED CLOUD-BASED BREAST CANCER IDENTIFICATION WITH MACHINE LEARNING

Breast cancer occurs when cells in the breast grow out of control. canspread outside through lymph vessels and blood it spreads to other parts thebody, is said have metastasized. Most cases are reported women who 50 yearsand/or o40 years older. According facts figures shared by WHO (World Health Organization), itimpacts 2.1 million every year also causes greatest number cancer-related deathsamongst women. Whilst rates higher among more developed regions, ratesare increasing nearly region globally. Different machine learning algorithms beenapplied dataset like Naïve Bayes (NB), J48 Decision tree, K-Nearest Neighbor (KNN) ANN(Gradient Descent) been applied them ANN (Gradient produces optimalresults these classification algorithms. The proposed Internet Medical Things EnabledCloud-Based Cancer Identification with Machine Learning system model 98.07 %accuracy has achieved. For 97.64 % sensitivity 98.32 specificity havebeen recorded. From results produced expert system, it's satisfactory utilize itfor diagnosis. Proposed will be helpful for diagnosis breastcancer.