An Efficient Classification Performance Analysis on Quality Data Management in Health Care Industries
K. Parish Venkata Kumar
K. Parish Venkata Kumar, Ph.D Scholar, Department of Computer Science and Engineering, PP.COMP.SCI & ENG. Rayalaseema University, Kurnool B.D.C.N Prasad. Research Supervisor, PVPSIT, Vijayawada (Andhra Pradesh), India.
Manuscript received on 12 May 2019 | Revised Manuscript received on 19 May 2019 | Manuscript Published on 23 May 2019 | PP: 1904-1908 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F13400476S519/2019©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: This examination stretches out and tests standards to build up great practice and beat handy boundaries for the vital administration of information quality. The exploration investigates the issues that characterize and control information quality in national well being information accumulations and the systems and structures that can be created to accomplish and manage great information quality. The point is to make the key administration of information quality, and the anticipation of diligent blunders, each day, standardized’ exercises. Human services is an intricate framework that is exceedingly political and socially assorted and connected wellbeing informatics explore is basic to enhance results and execution.
Keywords: Quality, Random Forest, Logistic Regression Matrix, Heart Disease.
Scope of the Article: Data Base Management System