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Descriptive Modelling of Clinical Conditions with Data-driven Rule Mining in Physiological Data
Örebro University, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Örebro University, Sweden. (IS (Embedded Systems))ORCID iD: 0000-0003-3802-4721
Örebro University, Sweden.
2015 (English)In: 8th International Conference on Health Informatics HEALTHINF, Lisbon, Portugal, 2015Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an approach to automatically mine rules in time series data representing physiological parameters in clinical conditions. The approach is fully data driven, where prototypical patterns are mined for each physiological time series data. The generated rules based on the prototypical patterns are then described in a textual representation which captures trends in each physiological parameter and their relation to the other physiological data. In this paper, a method for measuring similarity of rule sets is introduced in order to validate the uniqueness of rule sets. This method is evaluated on physiological records from clinical classes in the MIMIC online database such as angina, sepsis, respiratory failure, etc.. The results show that the rule mining technique is able to acquire a distinctive model for each clinical condition, and represent the generated rules in a human understandable textual representation.

Place, publisher, year, edition, pages
Lisbon, Portugal, 2015.
Keyword [en]
rule mining, pattern abstraction, health parameters, physiological time series, clinical condition.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-26814OAI: oai:DiVA.org:mdh-26814DiVA: diva2:767994
Conference
8th International Conference on Health Informatics HEALTHINF, 12-15 Jan 2015, Lisbon, Portugal
Available from: 2014-12-02 Created: 2014-12-02 Last updated: 2017-01-25Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
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  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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