Big Data Implementation of Drug Query with Disease Prediction, Side Effects and Feed Back Analysis
S. Priya Dharshini1, V. S. Priya Dharshini2, B. Renuka3, M. Tamil Thendral4
1V. S. Priyadharshini, Student, Department of Computer Science and Engineering, Kingston Engineering College, Vellore (Tamil Nadu), India.
2S. Priyadharshini, Student, Department of Computer Science and Engineering, Kingston Engineering College, Vellore (Tamil Nadu), India.
3B. Renuka, Student, Department of Computer Science and Engineering, Kingston Engineering College, Vellore (Tamil Nadu), India.
4M. Tamil Thendral, Assistant Professor, Department of Computer Science and Engineering, Kingston Engineering College, Vellore (Tamil Nadu), India.
Manuscript received on April 04, 2018. | Revised Manuscript received on April 12, 2018. | Manuscript published on April 30, 2018. | PP: 1-6 | Volume-5 Issue-4, April 2018. | Retrieval Number: D1230045418
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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: Big data is an all-encompassing term for any collection of data sets which are large and complex. This project deals with the integration of big data with cloud computing. In the existing system designing question answering system requires efficient and deep analysis of natural language questions. The disease cannot be analyzed properly if the information is incomplete and noisy in nature. Here a tool is provided to assist professionals and consumers in finding and choosing drugs. An approach is developed that allows a user to query for drugs that satisfy a set of conditions based on drug properties, such as drug indications, side effects, and drug interactions, and also takes into account patient profiles. The appointment of the best doctor is scheduled for the consultation based on user feedbacks. The best drug is advised to the specific patient based on their disease through Big Data analysis. User can post a query through system or through Android Application.
Keywords: Big Data, System Designing, Feedbacks. Android Application.