White box radial basis function classifiers with component selection for clinical prediction models

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摘要

ObjectiveTo propose a new flexible and sparse classifier that results in interpretable decision support systems.

论文关键词：Interpretable support vector machines,Radial basis functions,White box methods,Feature selection,Clinical decision support

论文评审过程：Received 28 November 2012, Revised 4 October 2013, Accepted 8 October 2013, Available online 18 October 2013.

论文官网地址：https://doi.org/10.1016/j.artmed.2013.10.001