A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival

作者：

Highlights：

• A data Analytics-based methodology is applied to identify important factors.

• Multiple feature selection methods were employed.

• The novel findings can be used to complement medical practitioners’ decisions.

• It can be used as a decision support system to improve the decision making process.

摘要

•A data Analytics-based methodology is applied to identify important factors.•Multiple feature selection methods were employed.•The novel findings can be used to complement medical practitioners’ decisions.•It can be used as a decision support system to improve the decision making process.

论文关键词：Data mining,Healthcare analytics,Machine learning,Medical decision making

论文评审过程：Received 23 November 2018, Revised 2 August 2019, Accepted 2 August 2019, Available online 3 August 2019, Version of Record 8 August 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112863