Effective Retrieval and Analysis of Uropathogens through NoSQL Database

Authors

  • 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

Keywords:

NoSQL; MongoDB; Urinary Tract Infection; Antibiotics; Therapy

Abstract

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.

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International Journal of Scientific Research in Science and Technology

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Published

2017-04-30

Issue

Volume 3, Issue 5, May-June-2017

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 5, pp.162-166, May-June-2017.