A hybrid intelligent system for medical data classification

作者：

Highlights：

• A hybrid intelligent system is proposed for medical data classification tasks.

• The proposed system is able to learn incrementally and explain its predictions.

• Benchmark medical data sets are used to evaluate the effectiveness of the system.

• The results ascertain the usefulness of the system for medical decision support.

• The knowledge base is presented as a decision tree for interpretation by users.

摘要

•A hybrid intelligent system is proposed for medical data classification tasks.•The proposed system is able to learn incrementally and explain its predictions.•Benchmark medical data sets are used to evaluate the effectiveness of the system.•The results ascertain the usefulness of the system for medical decision support.•The knowledge base is presented as a decision tree for interpretation by users.

论文关键词：Fuzzy Min–Max neural network,Classification and regression tree,Random forest,Hybrid intelligent systems,Medical decision support

论文评审过程：Available online 26 September 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.09.022