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Inferring characteristic phenotypes via class association rule mining in the bone dysplasia domain.

, , , и . J. Biomed. Informatics, (2014)

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Razan Taher

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Semantic interestingness measures for discovering association rules in the skeletal dysplasia domain., , , и . J. Biomed. Semant., (2014)Inferring characteristic phenotypes via class association rule mining in the bone dysplasia domain., , , и . J. Biomed. Informatics, (2014)Search Efficient Representation of Healthcare Data based on the HL7 RIM., и . J. Comput., 5 (12): 1810-1818 (2010)Finding symmetric association rules to support medical qualitative research., и . ICDIM, стр. 81-86. IEEE, (2010)Clustering medical data to predict the likelihood of diseases., и . ICDIM, стр. 44-49. IEEE, (2010)Mining irregular association rules based on action & non-action type data., и . ICDIM, стр. 63-68. IEEE, (2010)Semantic Similarity-Driven Decision Support in the Skeletal Dysplasia Domain., , , и . ISWC (2), том 7650 из Lecture Notes in Computer Science, стр. 164-179. Springer, (2012)DC Proposal: Decision Support Methods in Community-Driven Knowledge Curation Platforms.. ISWC (2), том 7032 из Lecture Notes in Computer Science, стр. 333-340. Springer, (2011)Optimized Column-Oriented Model: A Storage and Search Efficient Representation of Medical Data., и . ITBAM, том 6266 из Lecture Notes in Computer Science, стр. 118-127. Springer, (2010)Decision support methods for community-driven knowledge curation platforms in the biomedical domain. University of Queensland, Australia, (2013)