Exploring Data Mining and Aided Diagnosis System of Hepatopathy

Ying Yang; Lin Li; Lei Yang; Xue Jun Zhang

doi:10.4028/www.scientific.net/AMM.602-605.1642

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Exploring Data Mining and Aided Diagnosis System...

Exploring Data Mining and Aided Diagnosis System of Hepatopathy

Abstract:

Chronic viral hepatitis, especially viral hepatitis B (HBV), has become a widespread infectious disease in the world. China is a big power of country in HBV, and people infected in China are the largest repository of HBV, which provides extensive research resources. The Data Mining and Aided Diagnosis System of Hepatopathy (DMADSH) embarks from the clinical situations and actual needs, combines the medical knowledge with computer data comprehensive analysis and mining technology, and through the knowledge extraction of the vast amounts of patient clinical data, image characteristics, location and shape of lesion, it gets the classification of hepatitis lesions and diagnosis automatically, so as to diagnose early to liver cancer and liver cirrhosis, and support for long-term dynamic monitoring in patients of hepatopathy and other health purposes.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1642-1645

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1642

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Online since:

August 2014

Authors:

Ying Yang*, Lin Li, Lei Yang, Xue Jun Zhang

Keywords:

Aided Diagnosis System, Data Mining (DM), Dynamic Monitoring, Hepatopathy

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* - Corresponding Author

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