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<i>Helicobacter pylori</i>microbe and detecting with data mining algorithms

<i>Helicobacter pylori</i>microbe and detecting with data mining algorithms
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摘要 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. 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.
出处 《Open Journal of Gastroenterology》 2013年第2期93-98,共6页 肠胃病学期刊(英文)
关键词 Data Mining HELICOBACTER PYLORI Regression RBF Network Part Data Mining Helicobacter pylori Regression RBF Network Part
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