Health Care Systems using Machine Learning
Asha Abraham1, Sumithra M2
1Asha Abraham, Department of Computer Science, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai (Tamil Nadu), India.
2Sumithra M, Department of Computer Science, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai (Tamil Nadu), India.
Manuscript received on 20 May 2019 | Revised Manuscript received on 06 June 2019 | Manuscript Published on 15 June 2019 | PP: 204-207 | Volume-8 Issue-1S2 May 2019 | Retrieval Number: A00470581S219/2019©BEIESP
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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 study of different age people from different lifestyle, what all symptoms came for the disease, at what stage, what measures taken to get rid of, later changes, what were the side effects, how it decreased or increased will help in future prediction of possible chance for illness in others. A System which having the above details, suggestions from good and expert practitioners, can be used to give warnings to people about the possibility to get affected after 5 or 10 years and to take pre-cautions . Combinational outcome of Descriptive, Predictive and Prescriptive Data Analytics methods on past and present structured and unstructured Big Data can be used to predict future after effects which should be prioritized and treated. Suggestions can be given to people to take appointment with dieticians, change food habits, perform exercises, practice remedial measures etc. Right step at correct time save lives, gives happiness to families, reduces medical expenditures. The relevant information hidden in massive amount of data are made available by the AI assistants to make better clinical decisions in the functional areas of healthcare. To make such a system, a detailed study on big data, analytics methods, health care, practicing methods, electronic health records etc is required. A preventive guidance and less cost expert system which is helpful for common man and experts, for immediate solution and care can be developed in future. Deep machine learning algorithms to detect later possibility of occurrence should be developed. For this a study on Big Data and Health Care Analytics is done.
Keywords: Big Data, Data Analytics, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Volume, Velocity, Veracity.
Scope of the Article: Machine Learning