A Survey on Applications of Big Data Analytics in Healthcare
Shubham Borikar1, Mohan Bhagchandani2, Raunak Kochar3, Ketansing Pardeshi4, Manisha Gahirwal5.
1Shubham Borikar, Bachelor of Engineering, Student at Vivekanand Education Society’s Institute of Technology, University of Mumbai, Mumbai (Maharashtra). India.
2Mohan Bhagchandani, Bachelor of Engineering Student at Vivekanand Education Society’s Institute of Technology, University of Mumbai, Mumbai (Maharashtra). India.
3Raunak Kochar, Bachelor of Engineering Student at Vivekanand Education Society’s Institute of Technology, University of Mumbai, Mumbai (Maharashtra). India.
4Ketansing Pardeshi, Bachelor of Engineering Student at Vivekanand Education Society’s Institute of Technology, University of Mumbai, Mumbai (Maharashtra). India.
5Manisha Gahirwal, Professor, Department of Computer Engineering, Vivekanand Education Society’s Institute of Technology, University of Mumbai, Mumbai (Maharashtra). India.
Manuscript received on October 14, 2015. | Revised Manuscript received on October 27, 2015. | Manuscript published on November 05, 2015. | PP: 36-39 | Volume-5 Issue-5, November 2015 . | Retrieval Number: E2747115515/2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: The data in healthcare is increasing rapidly and is expected to increase significantly in coming years. Healthcare services although armed with modern technologies for curing the diseases grapples when it comes to preventing the diseases beforehand. Adoption of Big Data solutions will play an important role in transforming the outcomes of the healthcare industry by promoting evidence based reasoning and providing patient centric treatment. In this age of Big Data we can provide solutions to identify individuals who are prone to certain lifestyle diseases. Think of identifying an individual having an increased risk of diabetes after 10 years, now. With the advent of new big data analysis tools and technologies, such predictive systems can be designed which can identify individuals with increased risk. This paper provides an overview of big data analytics, different technologies that can be used in big data and its impact on healthcare domain to make some useful predictions based upon analyzing a variety of datasets. Finally we provide a model which can be used for predictive analytics using data mining and machine learning algorithms to predict the chances for a person to be prone to a disease.
Keywords: Big Data;Healthcare;Prediction system.