Classification of auditory brainstem responses through symbolic pattern discovery
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- 作者：Marco E. Molina me.molina@alumnos.upm.es" class="auth_mail" title="E-mail the corresponding author ; Aurora Perez ; aurora@fi.upm.es" class="auth_mail" title="E-mail the corresponding author ; Juan P. Valente jpvalente@fi.upm.es" class="auth_mail" title="E-mail the corresponding author
- 关键词：Time series data mining ; Decision support systems ; Pattern-based classification ; Symbolic pattern discovery ; Auditory brainstem responses
- 刊名：Artificial Intelligence in Medicine
- 出版年：2016
- 出版时间：June 2016
- 年：2016
- 卷：70
- 期：Complete
- 页码：12-30
- 全文大小：4558 K
文摘
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We propose a method to support diagnosis in domains with time series data.
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Temporal abstraction is used to capture relevant domain concepts in data.
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A frequent pattern discovery technique is used to extract patient characteristics.
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Patterns are used to characterize population groups by comparison with a control group.
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Our method uses domain knowledge to improve the interpretability and acceptability of results.