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Using Published Medical Results and Non-homogenous Data in Rule Learning.

, , , and . ICMLA (2), page 84-89. IEEE Computer Society, (2011)978-0-7695-4607-0.

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The LEM3 System for Multitype Evolutionary Optimization.. Comput. Informatics, 28 (2): 225-236 (2009)Towards application of rule learning to the meta-analysis of clinical data: An example of the metabolic syndrome., , , and . Int. J. Medical Informatics, 78 (12): 104-111 (2009)Generalizing Data in Natural Language., and . RSEISP, volume 4585 of Lecture Notes in Computer Science, page 29-39. Springer, (2007)Using Published Medical Results and Non-homogenous Data in Rule Learning., , , and . ICMLA (2), page 84-89. IEEE Computer Society, (2011)978-0-7695-4607-0.Guiding Supervised Learning by Bio-Ontologies in Medical Data Analysis., , , and . AI4KM@IJCAI, volume 518 of IFIP Advances in Information and Communication Technology, page 1-18. Springer, (2016)Comparison of Classification Learning Methods for Medical Claims Payments., and . AMIA, AMIA, (2012)Active Learning Based User-Defined Chest X-Ray Diagnosis System Leveraging 5G Infrastructure for COVID-19 Variant Detection., and . AMIA, AMIA, (2021)The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results., , , and . ICMLA, page 518-523. IEEE Computer Society, (2007)Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results., , , , and . Intelligent Information Systems, volume 35 of Advances in Soft Computing, page 273-285. Springer, (2006)The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems., and . GECCO, page 1281-1288. ACM, (2006)