Research ArticleOpen AccessGoogle Scholar indexed
<i>Helicobacter pylori</i> microbe and detecting with data mining algorithms
Computer Science and Engineering Department, Shiraz University, Shiraz, Iran
Computer Science and Engineering Department, Shiraz University, Shiraz, Iran
Computer Science and Engineering Department, Shiraz University, Shiraz, Iran
- 1 Computer Science and Engineering Department, Shiraz University, Shiraz, Iran
- 2 Computer Science and Engineering Department, Shiraz University, Shiraz, Iran
- 3 Computer Science and Engineering Department, Shiraz University, Shiraz, Iran
Open Journal of Gastroenterology·Volume 03 (2013)·Pages 93–98·Published 20 May 2013·DOI10.4236/ojgas.2013.32016
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Abstract
Nowadays medicines believe that the only definite method to diagnose the existence of Helicobacter pylori microbe is performing endoscope, however it’s painful and insufferable for young children. Thus in this paper we used data mining algorithms to diagnose the existence of this microbe and eventually we succeeded in predicting the existence of this bacterium in stomach that guides medicines to perform Endoscopy just in cases where percentage of finding this bacterium is high.
KeywordsData Mining<i>Helicobacter pylori</i>RegressionRBF NetworkPart
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