DIAGNOSIS OF BREAST CANCER USING BIG DATA ANALYSIS

Abstract

In this study, a Machine Learning classifier algorithm was developed to diagnose breast cancer in women. The study accepted input was a trained data set that was cleaned and prepared that then enabled the design and development of the algorithm diagnosis model using the Naives Bayes machine learning classifier and from the design implementation it was evident that machine learning could be applied in cancer diagnosis, prediction and detection and that this technology can help reduce death caused by cancer.

Identifiers

Resource ID

urn:uuid:95273478-e2ef-4c4c-8421-923f5ac2f816