Big Data Analytics and Intelligence: A Perspective for Health Care
Muruganantham A.1, Phong Thanh Nguyen2, E. Laxmi Lydia3, K. Shankar4, Wahidah Hashim5, Andino Maseleno6
1Muruganantham A, Department of Computer Science, Kristu Jayanti College, India.
2Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University, Vietnam.
3E.Laxmi Lydia, Vignan’s Department of Institute of Information Technology (A), Computer Science and Engineering, Visakhapatnam, (A.P), India.
4K.Shankar, Department of Computer Applications, Alagappa University, India.
5Wahidah Hashim, Department of Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
6Andino Maseleno, Department of Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
Manuscript received on 18 August 2019 | Revised Manuscript received on 29 August 2019 | Manuscript Published on 06 September 2019 | PP: 861-864 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F11620886S19/19©BEIESP | DOI: 10.35940/ijeat.F1162.0886S19
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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: The term big data refers to a group of large and vast amount of data collected from many research organizations, hospitals and scientific organizations which can be available for the healthcare. Such big data have potential for improving in the research in healthcare. The big data helps to analyze the clinical datasets and provides the key insights for the patients care. Such data can be analyzed by several multidisciplinary methods. The big data and intelligence model also helps to provide support in taking recommend action and make the decision making model more strong. The Healthcare medical artificial intelligence system mainly uses a computer software to perform the health and clinical diagnoses and suggest the proper treatments. Predictive analysis is also the most important part of Big Data Analytics which use datasets and historical data to make the predictions about the disease. But such predictions results may vary for person to person. Every person have different immunity power, so an detailed research may help to lead better results. There are many techniques and algorithms are available such as PPDM, Machine Learning, Data Mining Algorithms, Artificial Intelligence etc. In this research it is studied that how health care data can helps patients in predicting diseases and improve the treatment.
Keywords: Big Data Analysis for Health Care, Data Mining, Artificial Intelligence, Privacy Preserving Data Mining.
Scope of the Article: Big Data Analytics and Business Intelligence