Effective Retrieval and Analysis of Uropathogens through NoSQL Database

Authors(5) :-Dr. V.T. Meenatchi, Dr. M. Thangaraj, S. Padmavathy, N. K. AshaDevi, K. Vignesh

In the today’s web era, big data is emerging. The storage and retrieval of big data is becoming an issue. The database administrators are moving into new storage technology, the NoSQL database. This paper analyzes the predominant organisms causing the Urinary Tract Infection (UTI) based on gender wise and age-wise and also the antibiogram pattern of 3G and 4G antibiotics were analysed. The work is clinically proven using new methodologies and the data is then mapped into MongoDB, a NoSQL database. Through this type of mapping and analysis, the data retrieval becomes ease and simpler to manage huge data. The generated analytical report aids the medical practitioners to provide the needful therapy for UTI affected patients.

Authors and Affiliations

Dr. V.T. Meenatchi
Department of CA & IT, Thiagarajar, College, Department of Computer Science, M.K University, Madurai, India
Dr. M. Thangaraj
Department of CA & IT, Thiagarajar, College, Department of Computer Science, M.K University, Madurai, India
S. Padmavathy
Department of Zoology & Microbiology, Thiagarajar College, Madurai, India
N. K. AshaDevi
Department of Zoology & Microbiology, Thiagarajar College, Madurai, India
K. Vignesh
Department of Zoology & Microbiology, Thiagarajar College, Madurai, India

NoSQL; MongoDB; Urinary Tract Infection; Antibiotics; Therapy

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 162-166
Manuscript Number : ICASCT2527
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Dr. V.T. Meenatchi, Dr. M. Thangaraj, S. Padmavathy, N. K. AshaDevi, K. Vignesh , " Effective Retrieval and Analysis of Uropathogens through NoSQL Database", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 5, pp.162-166, May-June-2017.
Journal URL : http://ijsrst.com/ICASCT2527

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