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A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records.

, , , , , and . IEEE Access, (2021)

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Interval type-2 fuzzy DSS for unbiased medical diagnosis., , and . SMC, page 3340-3345. IEEE, (2016)A hybrid reasoning system for mobile and intelligent health services., , and . SMC, page 3399-3404. IEEE, (2016)KETO: A Knowledge Editing Tool for Encoding Condition - Action Guidelines into Clinical DSSs., , and . HAIS (1), volume 7208 of Lecture Notes in Computer Science, page 352-364. Springer, (2012)Optimization of rule-based systems in mHealth applications., , and . Eng. Appl. Artif. Intell., (2017)Multivariate fuzzy analysis of brain tissue volumes and relaxation rates for supporting the diagnosis of relapsing-remitting multiple sclerosis., , , , , , and . Biomed. Signal Process. Control., (2019)Fuzzy partitioning for clinical DSSs using statistical information transformed into possibility-based knowledge., , and . Knowl. Based Syst., (2014)Structural verification through similarity measures for fuzzy rule bases representing clinical guidelines., and . J. Intell. Fuzzy Syst., 23 (6): 313-326 (2012)Interpretability indexes for Fuzzy classification in cognitive systems., , and . FUZZ-IEEE, page 24-31. IEEE, (2016)Transformation of probability distribution into fuzzy set interpretable with likelihood view., , and . HIS, page 91-96. IEEE, (2011)An Ontology Service to Support Medical Image Labeling., and . IPCV, page 519-525. CSREA Press, (2007)