Research and Application of Decision Tree Technology in Retinopathy

Xu Zeng

doi:10.4028/www.scientific.net/AMR.779-780.1748

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Research and Application of Decision Tree Technology in Retinopathy
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 779-780Research and Application of Decision Tree...

Research and Application of Decision Tree Technology in Retinopathy

Abstract:

Diabetic retinopathy decision tree mining problem, with the extension of diabetes date, diabetic retinopathy becomes the one of the most serious complications. In order to find out and treatment of diabetic retinopathy as early as possible, the paper proposes a kind of new tree-building methods. By the comparison of the common methods of decision tree analysis, base on the retinopathy data of the department of ophthalmology information management system in a hospital in Zunyi City in 2011, J48 parameter selection, and established the model after the original data are corrected, property cleared. Compared with the original data, the cross validation rate of decision tree model with corrected data is more accurate. It has got a better application in the Ophthalmology information management system in a hospital in Zunyi City.

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Periodical:

Advanced Materials Research (Volumes 779-780)

Pages:

1748-1751

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.779-780.1748

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Online since:

September 2013

Authors:

Xu Zeng

Keywords:

Data Correction, Data Mining (DM), Decision Tree, Retinopathy

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References

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