Helicobacter pylori microbe and detecting with data mining algorithms

DOI: 10.4236/ojgas.2013.32016   PDF   HTML   XML   3,410 Downloads   4,795 Views   Citations


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.

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Rasekh, A. , Liaghat, Z. and Tabebordbar, A. (2013) Helicobacter pylori microbe and detecting with data mining algorithms. Open Journal of Gastroenterology, 3, 93-98. doi: 10.4236/ojgas.2013.32016.

Conflicts of Interest

The authors declare no conflicts of interest.


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