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Learning T2D Evolving Complexity from EMR and Administrative Data by Means of Continuous Time Bayesian Networks., , , and . HEALTHINF, page 338-344. SciTePress, (2016)Reusable influence diagrams., and . Artif. Intell. Medicine, 6 (6): 483-500 (1994)Phenotypic and genotypic data integration and exploration through a web-service architecture., , and . BMC Bioinform., 10 (S-12): 5 (2009)INDIV-3D. A new model for INdividual Data Integration and Visualisation using spatial coordinates., , and . ICIMTH, volume 190 of Studies in Health Technology and Informatics, page 172-174. IOS Press, (2013)A stochastic model to assess the variability of blood glucose time series in diabetic patients self-monitoring., and . IEEE Trans. Biomed. Eng., 53 (6): 977-985 (2006)Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks., , , and . BMC Bioinform., (2007)An ICT infrastructure to integrate clinical and molecular data in oncology research., , , , , and . BMC Bioinform., 13 (S-4): S5 (2012)TA-clustering: Cluster analysis of gene expression profiles through Temporal Abstractions., , , , , , and . Int. J. Medical Informatics, 74 (7-8): 505-517 (2005)Why did AI get this one wrong? - Tree-based explanations of machine learning model predictions., , , , , and . Artif. Intell. Medicine, (January 2023)Stability analysis of MTopGO for module identification in PPI networks., , and . PeerJ Prepr., (2017)