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Diagnostic classification of Parkinson's disease based on non-motor manifestations and machine learning strategies.

, , , , , , , , , , and . Neural Comput. Appl., 35 (8): 5603-5617 (March 2023)

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Diagnostic classification of Parkinson's disease based on non-motor manifestations and machine learning strategies., , , , , , , , , and 1 other author(s). Neural Comput. Appl., 35 (8): 5603-5617 (March 2023)CT ;lt;DT>: Extending the application of the consolidation methodology even further., , , and . Expert Syst. J. Knowl. Eng., (2017)Consolidated Trees: Classifiers with Stable Explanation. A Model to Achieve the Desired Stability in Explanation., , , , and . ICAPR (1), volume 3686 of Lecture Notes in Computer Science, page 99-107. Springer, (2005)Consolidated Tree Construction Algorithm: Structurally Steady Trees, , , and . ICEIS (2)'04, page 14-21. (2004)Consolidated Trees: An Analysis of Structural Convergence., , , , and . Selected Papers from AusDM, volume 3755 of Lecture Notes in Computer Science, Springer, (2006)UnPART: PART without the 'partial' condition of it., , , , and . Inf. Sci., (2018)Solving Poisson's equation using FFT in a GPU cluster., , , and . J. Parallel Distributed Comput., (2017)C4.5 Consolidation Process: An Alternative to Intelligent Oversampling Methods in Class Imbalance Problems., , , , and . CAEPIA, volume 7023 of Lecture Notes in Computer Science, page 74-83. Springer, (2011)Applying Resampling Methods for Imbalanced Datasets to Not So Imbalanced Datasets., , , and . CAEPIA, volume 8109 of Lecture Notes in Computer Science, page 111-120. Springer, (2013)Unsupervised anomaly detection system for Nidis-s based on payload and probabilistic suffix trees., , , , , and . IADIS AC (1), page 11-18. IADIS Press, (2009)