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Reseach Article

Fuzziness in Diagnosis and Treatment of Urinary Tract Infections

Published on February 2013 by S. R. Mulik, B.t. Jadhav
International Conference on Recent Trends in Information Technology and Computer Science 2012
Foundation of Computer Science USA
ICRTITCS2012 - Number 10
February 2013
Authors: S. R. Mulik, B.t. Jadhav
039c92c7-c6a7-4040-82b3-92bccb116468

S. R. Mulik, B.t. Jadhav . Fuzziness in Diagnosis and Treatment of Urinary Tract Infections. International Conference on Recent Trends in Information Technology and Computer Science 2012. ICRTITCS2012, 10 (February 2013), 20-23.

@article{
author = { S. R. Mulik, B.t. Jadhav },
title = { Fuzziness in Diagnosis and Treatment of Urinary Tract Infections },
journal = { International Conference on Recent Trends in Information Technology and Computer Science 2012 },
issue_date = { February 2013 },
volume = { ICRTITCS2012 },
number = { 10 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 20-23 },
numpages = 4,
url = { /proceedings/icrtitcs2012/number10/10318-1459/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Information Technology and Computer Science 2012
%A S. R. Mulik
%A B.t. Jadhav
%T Fuzziness in Diagnosis and Treatment of Urinary Tract Infections
%J International Conference on Recent Trends in Information Technology and Computer Science 2012
%@ 0975-8887
%V ICRTITCS2012
%N 10
%P 20-23
%D 2013
%I International Journal of Computer Applications
Abstract

Urinary tract infection is commonly encountered medical problem throughout the world occurring in any age group. If misdiagnosed or untreated, it may develop many life threatening complications. In this paper we focus on vagueness and complexity in diagnosis and treatment of UTI . The paper is organized into three sections. First section does discuss about the symptoms, diagnosis and treatment options for uncomplicated urinary tract infections. Data has been taken from literature available. Second section explains fuzziness and complexity in diagnosis and treatment of UTI and overview of fuzzy logic. Since diagnosis and treatment data is vague and imprecise, there is inherent uncertainty and complexity in the problem. In third section, we propose design of fuzzy algorithm for planning treatment of UTI in women.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Uti Symptoms Treatment Complexity Fuzzy