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DEVELOPING AN INTEGRATED SYSTEM COMBINING DIFFERENT CLASSIFICATION TECHNIQUES OF MACHINE LEARNING IN THE EARLY DIAGNOSIS OF BREAST CANCER

Ruchika Chakravarti

Vol. 7, Jan-Jun 2019

Abstract:

Analysis of Data assumes fundamental parts in conclusion and treatment in the medical care area. To empower professional independent direction, process gigantic volumes of information with AI procedures to create apparatuses for the expectation and characterization of Breast Cancer reports of 1 million cases each year. We have proposed a forecast model, which is explicitly intended for the expectation of Breast Cancer utilizing Machine learning calculations, a Decision tree classifier, Naïve Bayes, SVM and K-Nearest Neighbour calculations. The model predicts the sort of cancer. The growth can be harmless (noncancerous) or dangerous (dangerous). The model purposes directed learning, an AI idea where we give subordinate and free segments to machines. It utilizes a characterization procedure which predicts the kind of cancer.

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