Evaluation of Big Data Analytics in Medical Science
Iwan Kurniawan Subagja1, Nurhadifah Amaliyah2, Ulpen Hiermy3, Budi Tri Rahardjo4, E. Laxmi Lydia5, K. Shankar6, Phong Thanh Nguyen7
1Iwan Kurniawan Subagja, Universitas Krisnadwipayana Jakarta, Indonesia.
2Nurhadifah Amaliyah, Universitas Megarezky, Indonesia.
3Ulpen Hiermy, Sekolah Tinggi Teknologi Bina Tunggal Bekasi, Indonesia.
4Budi Tri Rahardjo, Universitas Krisnadwipayana Jakarta, Indonesia.
5E. Laxmi Lydia, Professor, Department of Computer Science and Engineering, Vignan’s Institute of Information Technology (A), Visakhapatnam (A.P), India.
6K. Shankar, Department of Computer Applications, Alagappa University, Karaikudi, India.
7Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University, Vietnam.
Manuscript received on 28 September 2019 | Revised Manuscript received on 10 November 2019 | Manuscript Published on 22 November 2019 | PP: 717-720 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F11320986S319/19©BEIESP | DOI: 10.35940/ijeat.F1132.0986S319
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© The Authors. 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: In medical science the concept of big data is very important because in the diseases prevention outcome prediction of co-morbidities, mortality and it save the cost of medical treatment it can used. In the evolution of healthcare research and practices the continuously growing field of analytics of big data has play a pivotal role. To analyze, accumulate, assimilate and manage huge volume of structured, disparate and unstructured data that produced by recent system of healthcare, it provide the tools. To inform providers about most effective and efficient treatment pathways and to revamp the health care delivery process the big data of healthcare has the potential. Both insurers and health care providers are incenting by Value-based purchasing programs. To estimate the efficiency and quality of care to find the new ways to leverage health care data defined the insures. During routine health care in data collection current advances in the form of EHR (Electronic Health Records), for clinical application in biological discoveries medical device data have created major opportunities.
Keywords: Big Data, Healthcare, Clinical Application, Medical Treatment.
Scope of the Article: Big Data Analytics and Business Intelligence