Prediction of postoperative complications of pediatric cataract patients using data mining

Prediction of postoperative complications of pediatric cataract patients using data mining

Abstract Background The common treatment for pediatric cataracts is to replace the cloudy lens with an artificial one. However, patients may suffer complications (severe lens proliferation into the visual axis and abnormal high intraocular pressure; SLPVA and AHIP) within 1 year after surgery and fa...

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Bibliographic Details
Main Authors: Kai Zhang, Xiyang Liu, Jiewei Jiang, Wangting Li, Shuai Wang, Lin Liu, Xiaojing Zhou, Liming Wang
Format: Article
Language:English
Published: BMC 2019-01-01
Series:Journal of Translational Medicine
Subjects:
Random forest
Naïve Bayesian
Association rules mining
Genetic feature selection
Medical decision making system
Online Access:http://link.springer.com/article/10.1186/s12967-018-1758-2

Internet

http://link.springer.com/article/10.1186/s12967-018-1758-2

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