ISSN: (Online) 2321 -4155
ISSN: (Print) 2320 -7000

JOURNAL OF INDIAN RESEARCH
VOLUME : 2, ISSUE : 1, January-March, 2014 (ISSN No. : 2321-4155)
 
UTI DIAGNOSIS: A COMPUTATIONAL APPROACH
Tariq Rasool, S.M.K Quadri & Farooq Iqbal
 
ABSTRACT
Urinary tract infections are the most common type of infections affecting the urino-genital tract of human beings. Although most of the times urinary tract infections are not life threatening but if not diagnosed and treated well in time, can lead to severe complications. UTIs should not be difficult to diagnose but at times symptoms of some other diseases of Urino-Genital tract overlap with the symptoms of UTIs to a greater extent. This overlapping makes the diagnosis challenging and chances of misdiagnosis increase considerably particularly in case of junior physicians. In this paper, we explore the applicability of a modified version of K-Nearest Neighbor technique from the field of data mining to diagnose UTIs on the basis of clinical symptoms presented in a health care facility.
 
KEYWORD
UTI, Urino-genital, Data Mining, K-NN.
Copyright@2012.mewaruniversity.in