Predictive Analysis for Diabetes using Tableau

Main Article Content

Dhanamma Jagli, Siddhanth Kotian

Abstract

As per the present circumstances, in India, Diabetic Mellitus (DM) has turned into a major wellbeing peril. Diabetic Mellitus (DM) is arranged as a Non-Communicable Diseases (NCD), and numerous individuals are experiencing it. Consistently vast volume of diabetic information is creating and consequently it is important to do examination on this information and settle on effective choices. In the healing centers different records, for example, patients' profile data, x-beam reports, different therapeutic tests' reports and so on are saved and this structures huge information. Enormous information examination is the procedure which inspects such huge informational collections and reveals shrouded data, concealed examples to find learning from the information. By applying investigation on medicinal services information, essential choice and expectation can be made. The framework proposed in this paper is a propelled answer for investigating the information in light of the information acquired from the past multiyear and after that giving outcomes to the up and coming year in an effective way. The proposed framework influences utilization of programming to device named Tableau to deliver the examination for up and coming year in light of the past five long periods of information.

Article Details

How to Cite
, D. J. S. K. “Predictive Analysis for Diabetes Using Tableau”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 6, no. 6, June 2018, pp. 230-2, doi:10.17762/ijritcc.v6i6.1663.
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