Data mining for decision support with uncertainty on the airplane
作者：
Highlights：
• Feature engineering and care process formalization for in-flight medical coverage.
• Evidential in-flight clinical decision support system to manage medical uncertainty.
• High-Utility Itemset Mining considering the uncertainty inherent in decision-making.
• Ontologies with data mining for a co-evolution of knowledge modeling and extraction.
• Innovative principles for the standardization of in-flight medical incidents report.
摘要
•Feature engineering and care process formalization for in-flight medical coverage.•Evidential in-flight clinical decision support system to manage medical uncertainty.•High-Utility Itemset Mining considering the uncertainty inherent in decision-making.•Ontologies with data mining for a co-evolution of knowledge modeling and extraction.•Innovative principles for the standardization of in-flight medical incidents report.
论文关键词：Dempster-Shafer theory,Frequent pattern mining,Semantic reasoning,Decision support system,In-flight medical incidents
论文评审过程：Received 12 February 2017, Revised 12 April 2018, Accepted 6 June 2018, Available online 26 July 2018, Version of Record 13 October 2018.
论文官网地址：https://doi.org/10.1016/j.datak.2018.06.002
