{ "data_id": "45224", "name": "diabetes_5", "exact_name": "diabetes_5", "version": 1, "version_label": null, "description": "**Diabetes Bayesian Network. Sample 5.**\n\nbnlearn Bayesian Network Repository reference: [URL](https:\/\/www.bnlearn.com\/bnrepository\/discrete-verylarge.html#diabetes)\n\n- Number of nodes: 413\n\n- Number of arcs: 602\n\n- Number of parameters: 429409\n\n- Average Markov blanket size: 3.97\n\n- Average degree: 2.92\n\n- Maximum in-degree: 2\n\n**Authors**: S. Andreassen, R. Hovorka, J. Benn, K. G. Olesen, and E. R. Carson.\n\n**Please cite**: ([URL](https:\/\/vbn.aau.dk\/en\/publications\/a-model-based-approach-to-insulin-adjustment)): S. Andreassen, R. Hovorka, J. Benn, K. G. Olesen, and E. R. Carson. A Model-based Approach to Insulin Adjustment. In Proceedings of the 3rd Conference on Artificial Intelligence in Medicine, pages 239-248. 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