Modeling and reasoning with qualitative comparative clinical knowledge

Jianbing Ma, Weiru Liu, Anthony Hunter

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


The number of clinical trials reports is increasing rapidly due to a large number of clinical trials being conducted; it, therefore, raises an urgent need to utilize the clinical knowledge contained in the clinical trials reports. In this paper, we focus on the qualitative knowledge instead of quantitative knowledge. More precisely, we aim to model and reason with the qualitative comparison (QC for short) relations which consider qualitatively how strongly one drug/therapy is preferred to another in a clinical point of view. To this end, first, we formalize the QC relations, introduce the notions of QC language, QC base, and QC profile; second, we propose a set of induction rules for the QC relations and provide grading interpretations for the QC bases and show how to determine whether a QC base is consistent. Furthermore, when a QC base is inconsistent, we analyze how to measure inconsistencies among QC bases, and we propose different approaches to merging multiple QC bases. Finally, a case study on lowering intraocular pressure is conducted to illustrate our approaches.
Original languageEnglish
Pages (from-to)25-46
Number of pages22
JournalInternational Journal of Intelligent Systems
Issue number1
Publication statusPublished - Jul 2011

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Human-Computer Interaction
  • Theoretical Computer Science


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