Use of Elastic Search for Intelligent Algorithms
to Ease the Healthcare Industry
C. Bhadane1, H. A. Mody2, D. U. Shah3, P. R. Sheth4
1C.Bhadane, Computer Engineering, D. J. Sanghvi College of Engineering, Mumbai, India.
2H. A. Mody, Computer Engineering, D. J. Sanghvi College of Engineering, Mumbai
3D. U. Shah, Computer Engineering, D. J. Sanghvi College of Engineering, Mumbai, India.
4P.R. Sheth, Computer Engineering, D. J. Sanghvi College of Engineering, Mumbai, India
Manuscript received on December 08, 2014. | Revised Manuscript received on December 15, 2014. | Manuscript published on January 05, 2014. | PP: 222-225 | Volume-3 Issue-6, January 2014. | Retrieval Number: F2013013614/2014©BEIESP
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© The Authors. Published By: 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: Our project is optimizing and adding an intelligent algorithm to a cross-platform software that tabulates the medicines and provides for easy retrieval of a list of similar medicines based upon a
Keywords: Relational databases and schematic databases had several drawbacks. This lead to the use of Elastic Search as the indexing technique for the project. Elastic Search being an unconventional Database (in the sense it is schema less), has certain drawbacks while dealing with data. Inspite of its real-time efficiency while handling terabytes of data and auto cluster balancing, it could use some improvement while deploying on the client side. We plan to use elastic search’s analytics tool to help improve the queried data. And also preprocess the query to make it faster before sending it over to the server so as to reduce the time latency while being used over slower data connections