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Boruta Feature Selection Method for Optimizing a Case-Based Reasoning Model to Predict Heart Disease.

, , and . Int. J. Pattern Recognit. Artif. Intell., 37 (14): 2351016:1-2351016:40 (November 2023)

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Hybrid Artificial Bees Colony and Particle Swarm on Feature Selection., , , and . CIIA, volume 522 of IFIP Advances in Information and Communication Technology, page 93-105. Springer, (2018)Boruta Feature Selection Method for Optimizing a Case-Based Reasoning Model to Predict Heart Disease., , and . Int. J. Pattern Recognit. Artif. Intell., 37 (14): 2351016:1-2351016:40 (November 2023)Retrieval and adaptation in CBR through Bayesian Network for diagnosis of hepatic pathologies., and . Int. J. Hybrid Intell. Syst., 9 (3): 123-134 (2012)Optimising retrieval phase in CBR through Pearl and JLO algorithms for medical diagnosis., and . Int. J. Adv. Intell. Paradigms, 5 (3): 161-181 (2013)An Improved Random Forest Based on Feature Selection and Feature Weighting for Case Retrieval in CBR Systems: Application to Medical Data., , , and . Int. J. Softw. Innov., 10 (1): 1-20 (2022)Case-Base Maintenance: An Approach Based on Active Semi-Supervised Learning., , , and . Int. J. Pattern Recognit. Artif. Intell., 35 (11): 2151011:1-2151011:28 (2021)Session variability in Automatic Speaker Verification., , , and . ICMCS, page 185-190. IEEE, (2014)A new case-deletion strategy for case-base maintenance based on K-means Clustering Algorithm applied to medical data., , and . Intell. Decis. Technol., 15 (4): 541-559 (2021)Improving the performance of computer-aided diagnosis systems using semi-supervised learning: a survey and analysis., , and . Int. J. Intell. Inf. Database Syst., 13 (2/3/4): 454-478 (2020)MOCABBAN: a modeling case base by a bayesian network applied to the diagnosis of hepatic pathologies., and . CIMCA/IAWTIC, page 678-685. IEEE Computer Society, (2005)