Implementing Health Care Center using Hadoop for Analysis and Prediction of Diseases
Velmurugan A1, Albert Mayan J2, Mohana Prasad R3, Yovan Felix A4
1Velmurugan A, Assistant Professor, School of Computing, Sathyabama Institute of Science and Technology, Chennai.
2Albert Mayan J, Assistant Professor, School of Computing, Sathyabama Institute of Science and Technology, Chennai.
3Mohana Prasad R, Assistant Professor, School of Computing, Sathyabama Institute of Science and Technology, Chennai.
4Yovan Felix A, Assistant Professor, School of Computing, Sathyabama Institute of Science and Technology, Chennai.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 3456-3459 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9517088619/2019©BEIESP | DOI: 10.35940/ijeat.F9517.088619
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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: Healthcare is very important in the medical field. Inorder to satisfy this area, we have proposed our scheme using the big data platform for data communication as well as data access. We have also used the java program for developing the application-oriented area. In this scheme, an unique concept has been implemented like user can request the information about the health to the officer, then the officer will communicate with Hadoop Distributed File System (HDFS). Then HDFS will get the information from the medical research Centre without any knowledge of intermediate. In this system we also satisfied the patients on getting the information about their health on an easy basis. HDFS will help medical research Centre for organizing the people’s information in HL7 format as well and distributed. So that this system is high in use for the medical field in the future, we have also satisfied the accuracy and speed of the communication in this project.
Keywords: Information, HDFS, registration, Medical Centre, Database management.