Classification of auditory brainstem responses through symbolic pattern discovery
作者：
Highlights：
• We propose a method to support diagnosis in domains with time series data.
• Temporal abstraction is used to capture relevant domain concepts in data.
• A frequent pattern discovery technique is used to extract patient characteristics.
• Patterns are used to characterize population groups by comparison with a control group.
• Our method uses domain knowledge to improve the interpretability and acceptability of results.
摘要
•We propose a method to support diagnosis in domains with time series data.•Temporal abstraction is used to capture relevant domain concepts in data.•A frequent pattern discovery technique is used to extract patient characteristics.•Patterns are used to characterize population groups by comparison with a control group.•Our method uses domain knowledge to improve the interpretability and acceptability of results.
论文关键词：Time series data mining,Decision support systems,Pattern-based classification,Symbolic pattern discovery,Auditory brainstem responses
论文评审过程：Received 21 October 2015, Accepted 9 May 2016, Available online 24 May 2016, Version of Record 6 June 2016.
论文官网地址：https://doi.org/10.1016/j.artmed.2016.05.001
