Big data analytics in health sector: Theoretical framework, techniques and prospects

作者：

Highlights：

• Systematic review addressing OR techniques and gained values from health BDA.

• Machine learning is the most applied technique amongst all health-related data types.

• Machine learning tools provide diagnosis for personalized healthcare.

• Many studies focus on the development of automated algorithms for decision-making.

• Future directions focus on IT development, training and health data security mechanisms.

摘要

•Systematic review addressing OR techniques and gained values from health BDA.•Machine learning is the most applied technique amongst all health-related data types.•Machine learning tools provide diagnosis for personalized healthcare.•Many studies focus on the development of automated algorithms for decision-making.•Future directions focus on IT development, training and health data security mechanisms.

论文关键词：Big data analytics,Health-Medicine,Decision-making,Machine learning,Operations research (OR) techniques

论文评审过程：Received 3 March 2019, Revised 23 April 2019, Accepted 8 May 2019, Available online 14 June 2019, Version of Record 14 June 2019.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2019.05.003