Prediction of periventricular leukomalacia. Part II: Selection of hemodynamic features using computational intelligence
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摘要
ObjectiveThe objective of Part II is to analyze the dataset of extracted hemodynamic features (Case 3 of Part I) through computational intelligence (CI) techniques for identification of potential prognostic factors for periventricular leukomalacia (PVL) occurrence in neonates with congenital heart disease.
论文关键词：Congenital heart disease,Computational intelligence,Data mining,Decision tree,Genetic algorithms,Neural networks,Periventricular leukomalacia
论文评审过程：Received 27 May 2008, Revised 8 August 2008, Accepted 1 December 2008, Available online 21 January 2009.
论文官网地址：https://doi.org/10.1016/j.artmed.2008.12.004
