A privacy-aware feature selection method for solving the personalization–privacy paradox in mobile wellness healthcare services
作者：
Highlights：
• The essence of personalization in mobile wellness healthcare (MWH) services is feature selection.
• A novel method of privacy-aware feature selection for individualized MWH is presented.
• An optimal set of features is automatically found to solve the personalization–privacy paradox.
• The results successfully show that the proposed method outperforms conventional methods.
摘要
•The essence of personalization in mobile wellness healthcare (MWH) services is feature selection.•A novel method of privacy-aware feature selection for individualized MWH is presented.•An optimal set of features is automatically found to solve the personalization–privacy paradox.•The results successfully show that the proposed method outperforms conventional methods.
论文关键词：Privacy decision-making,Feature selection,Personalization–privacy paradox,Privacy calculus,Mobile wellness healthcare services
论文评审过程：Available online 21 November 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.11.031
