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Urinary System includes kidneys, bladder, ureters and urethra. This is the major system involves electrolyte balance of the body and filters the blood and excretes the waste products in the form urine. Even the small disturbance in the renal function will step in a disasters manifestation. Among them we are considering the two diseases that affect the system are acute cystitis and acute nephritis. This paper presents the implementation of three supervised learning algorithms, ZeroR, J48 and Naive Bayes in WEKA environment. The classification models were trained using the data collected from 120 patients. The trained models were then used for predicting the acute cystitis or acute nephritis of the patients. The prediction accuracy of the classifiers was evaluated using 10-fold cross validation and the results were compared.
Dr. R. Kowsalya. 1970. "Acute Cystitis and Acute Nephritis Prediction Using Machine Learning Techniques". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 8).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 148
Country: Unknown
Subject: Global Journal of Computer Science and Technology
Authors: Dr. R. Kowsalya, G. Sasikala, J. Sangeetha Priya (PhD/Dr. count: 1)
View Count (all-time): 193
Total Views (Real + Logic): 7024
Total Downloads (simulated): 325
Publish Date: 2010 03, Mon
Monthly Totals (Real + Logic):
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