Finding characteristics of exceptional breast cancer subpopulations using subgroup mining and statistical test

作者：

Highlights：

• Discovery of interesting subgroups of breast cancer patients using subgroup mining.

• Rule induction algorithm for subgroup discovery and statistical test for evaluation.

• Case study with SEER breast cancer data.

• Comparison of characteristics of two exceptional high and low survival groups.

摘要

•Discovery of interesting subgroups of breast cancer patients using subgroup mining.•Rule induction algorithm for subgroup discovery and statistical test for evaluation.•Case study with SEER breast cancer data.•Comparison of characteristics of two exceptional high and low survival groups.

论文关键词：Breast cancer,SEER data,Subgroup mining,Statistical test

论文评审过程：Received 16 July 2018, Revised 9 October 2018, Accepted 9 October 2018, Available online 10 October 2018, Version of Record 24 October 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.10.016