Helicobacter pylori microbe and detecting with data mining algorithms

Autor:	Zeinab Liaghat, Alireza Tabebordbar, Amir Hossein Rasekh
Rok vydání:	2013
Předmět:	biology Endoscope business.industry Immunology Medicine Helicobacter pylori business biology.organism_classification Bioinformatics Data mining algorithm
Zdroj:	Open Journal of Gastroenterology. :93-98
ISSN:	2163-9469 2163-9450
DOI:	10.4236/ojgas.2013.32016
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3d5472e879b1cca86e00c53f116b8ab9 https://doi.org/10.4236/ojgas.2013.32016 Zobrazit plný text záznamu