A Modest Proposal

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ESTIMATION BASED ON DATA MINING APPROACH FOR HEALTH ANALYSIS

Priyanka Vijay Pawar
Department Of Computer Engineering
Ramrao Adik Institute of Technology
Nerul, Navi Mumbai
Email: pawarp0712@gmail.com

Megha Sakharam Walunj
Department Of Computer Engineering
Ramrao Adik Institute of Technology
Nerul, Navi Mumbai
Email:meghaswalunj@gmail.com

Pallavi Chitte
Department Of Computer Engineering
Ramrao Adik Institute of Technology
Nerul, Navi Mumbai
Email: pallavi.chitte@gmail.com

Abstract— In this world of global marathon, everyone is too close to smart technology but are moving miles away in taking care of our health. The traditional approach has been replaced by smart technologies integrated in every discipline of science. In this paper, …show more content…

We all are under the wrong impression that doctors are expertise in their domains and have good knowledge of all their solutions. Today, the rat race is so fast and furious that everyone just wants good amount of salary, name and fame but neglect and do not pay any heed to good health. Technology is far ahead and medical science is today doing miracles. But it can't possibly commit to memory all the knowledge they need for every situation, and they probably don't have it all at their fingertips. Even if we have access to the massive amounts of data we still need expert teams to predict analysis in various domains. But this kind of in-depth research and statistical analysis is beyond the scope of a human. It is the reason everyone is moving towards predictive analytics. Predictive analytics (PA) uses manipulations to search through huge amounts of information, and analyse it to predict outcomes for users. It can include data from past results as well as latest advancements. Not only can it help with predictions, but it can also reveal surprising associations in data that our human brains would never suspect. In medicine, predictions can range from responses to medications to hospital readmission …show more content…

Ruijuan Hu [2] states the details of the idea on two-step frequent data items using Apriori algorithms and Association Rules. This mentions a new improvised method called Improved Apriori Algorithm to eliminate cons of Apriori algorithm. Gitanjali J, et.al.[3] proposed study of huge datasets from various angles and obtaining gist of useful information. The data mining methods are very helpful in making medicinal decisions in curing diseases. Krishnaiah et.al. [4] aims to evaluate data mining techniques in clinical and health care applications to develop precise decisions and also provides a detailed discussion of medical data mining techniques can improve various angles of clinical predictions. Dan A. Simovici [5] proposed that association rules represent knowledge in data sets as results and are directly related to calculation of frequent item sets. Mohammed Abdul Khaleel [6] states data mining as a concept that studies large amount of data and extracts patterns that can be converted to useful

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