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Risk Assessment Models for Diabetes Complications: A Survey of Available Online Tools., , , , и . MobiHealth, том 83 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 46-53. Springer, (2011)Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets, , , , и . Journal of Statistical Software, (2017)SCENERY: a web application for (causal) network reconstruction from cytometry data, , , , , , , и . Nucleic Acids Research, (июля 2017)Meta-analysis of clinical metabolic profiling studies in cancer: challenges and opportunities, , , , , , , , , и . EMBO Molecular Medicine, (2016)Feature selection for longitudinal data, , и . Proceedings of the 10th conference of the Hellenic Society for Computational Biology & Bioinformatics (HSCBB15), (2015)A systematic review of predictive risk models for diabetes complications based on large scale clinical studies, , , , и . Journal of Diabetes and Its Complications, (2013)Serum microRNAs/enriched pathways in lung cancer 1-4 years before diagnosis: A pilot study from the HUNT Biobank, Norway., , , , , и . (2016)Performance-estimation properties of cross-validation based protocols with simultaneous hyper-parameter optimization, , и . International Journal on Artificial Intelligence Tools, (2015)Learning biologically-interpretable latent representations for gene expression data., , , , и . Mach. Learn., 112 (11): 4257-4287 (ноября 2023)Development and validation of risk assessment models for diabetes-related complications based on the DCCT/EDIC data, , , , , , и . Journal of Diabetes and its Complications 2015., (2015)