Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/13320
Title: Transforming health care big data implementing through Aprior-Mapreduce
Authors: Lydia, E.L. 
Selvam, R.P. 
Kirutikaa, U.S. 
Saranya, R. 
Ilayaraja, M. 
Shankar, K. 
Maseleno, A. 
Issue Date: 2019
Abstract: The healthcare industry routinely has generated massive quantities of knowledge, pushed by way of using record preserving, compliance & regulatory specifications, and patient care. The proposed paper specializes in designing of the radical Framework which consists of components and these accessories can be utilized to perform quick analysis by way of connecting clusters which is designed in this work. The proposed paper implements BigData Analytics capabilities as a part of a “Novel Framework” structure that can meet the wants of Health care vendors searching for to strengthen effects and efficiencies at the same time increasing profitability. This paper will help to establish todays and most confirmed techniques that leverage wellness care knowledge enabling corporations to attain excessive first-rate, cost-effective care. The “Novel Framework for health Care massive data” paper is constituted of members from the provider, well-being a procedure, health expertise technological know-how, academic, and wellness policy domains. This numerous staff is well-versed in information evaluation, patient-centered care, health knowledge science, determination support method, and the vital to transform health care supply with revolutionary makes use of wellness knowledge. © 2019, Research Trend. All rights reserved.
URI: http://dspace.uniten.edu.my/jspui/handle/123456789/13320
Appears in Collections:UNITEN Scholarly Publication

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