Knowledge-based decision system for automatic sleep staging using symbolic fusion in a turing machine-like decision process formalizing the sleep medicine guidelines
作者：
Highlights：
• Degree of adoption of decision support tools is improved by knowledge integration.
• 5 abstraction layers based Expert systems allows local and global reasoning.
• Guidelines indicate a specific decision support system for each sleep stage.
• Turing-Machine like decision process reflects dynamic of sleep.
• Evaluation should be conducted using inter-rater agreement rates.
摘要
•Degree of adoption of decision support tools is improved by knowledge integration.•5 abstraction layers based Expert systems allows local and global reasoning.•Guidelines indicate a specific decision support system for each sleep stage.•Turing-Machine like decision process reflects dynamic of sleep.•Evaluation should be conducted using inter-rater agreement rates.
论文关键词：Sleep stages,Symbolic fusion,Knowledge based systems,Automated decision support systems,Turing machine,Polysomnography
论文评审过程：Received 23 January 2018, Revised 6 June 2018, Accepted 9 July 2018, Available online 6 August 2018, Version of Record 6 August 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.023
