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Evaluating pointwise reliability of machine learning prediction.

, , , и . J. Biomed. Informatics, (2022)

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Riccardo Mattei

Riccardo Rubbiani

Riccardo Caccavale

Riccardo Satta

Riccardo Nocentini

 

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Learning temporal probabilistic causal models from longitudinal data., и . Artif. Intell. Medicine, 8 (3): 217-234 (1996)Reusable influence diagrams., и . Artif. Intell. Medicine, 6 (6): 483-500 (1994)Qualitative models and fuzzy systems: an integrated approach for learning from data., , , и . Artif. Intell. Medicine, 14 (1-2): 5-28 (1998)Knowledge-based data analysis and interpretation., , и . Artif. Intell. Medicine, 37 (3): 163-165 (2006)A stochastic model to assess the variability of blood glucose time series in diabetic patients self-monitoring., и . IEEE Trans. Biomed. Eng., 53 (6): 977-985 (2006)Bayesian Function Learning Using MCMC Methods., , и . IEEE Trans. Pattern Anal. Mach. Intell., 20 (12): 1319-1331 (1998)Interest Propagation for Knowledge Extraction and Representation., , , и . EFMI-STC, том 186 из Studies in Health Technology and Informatics, стр. 182-186. IOS Press, (2013)Temporal Reasoning with Probabilities, , и . CoRR, (2013)Learning T2D Evolving Complexity from EMR and Administrative Data by Means of Continuous Time Bayesian Networks., , , и . HEALTHINF, стр. 338-344. SciTePress, (2016)An ICT infrastructure to integrate clinical and molecular data in oncology research., , , , , и . BMC Bioinform., 13 (S-4): S5 (2012)