Open AccessA Comprehensive Big Data Analytics Based Framework for Premature Recognition of Breast Cancer
Author(s) -
M Venkatesan,
Anju Kulkarni,
Radhika Me,
V. Ramakrishnan
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8793.019320
Subject(s) - big data , pace , computer science , predictive analytics , data science , breast cancer , data analysis , analytics , machine learning , data mining , artificial intelligence , cancer , medicine , geodesy , geography
Healthcare industry is fast growing and expanding in rapid pace. The volume and veracity of data generated in the industry is massive and requires huge storages and handling capability. Big data is empowered with such robust abilities and hence most suitable for handing large amount of data. Further, hese data could be utilized towards building predictive and forecasting models. Breast cancer is a deadly form of cancer majorly affecting women around the globe. The concept of big data and predictive analytics is being explored in the paper towards early diagnosis of breast cancer. This paper surveys various literatures available on application of big data analysis for breast cancer. Subsequently a comprehensive framework is being proposed based on the gaps identified. Different machine learning algorithms which can be applied in the framework is also detailed in the paper. Such frameworks when implemented will greatly help in handling the massive data available and aid in early detection of breast cancer.