diabetes_9
OpenML dataset with id 45228
S. Andreassen, R. Hovorka, J. Benn, K. G. Olesen, and E. R. Carson., OpenML
Full work available at URL: https://api.openml.org/data/v1/download/22115890/diabetes_9.arff
Upload date: 26 April 2023
Dataset Characteristics
Number of features: 413 (numeric: 413, symbolic: 0 and in total binary: 0 )
Number of instances: 5,000
Number of instances with missing values: 0
Number of missing values: 0
Diabetes Bayesian Network. Sample 9.
bnlearn Bayesian Network Repository reference: URL
- Number of nodes: 413
- Number of arcs: 602
- Number of parameters: 429409
- Average Markov blanket size: 3.97
- Average degree: 2.92
- Maximum in-degree: 2
Authors: S. Andreassen, R. Hovorka, J. Benn, K. G. Olesen, and E. R. Carson.
Please cite: (URL): 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. Springer-Verlag, 1991.
This page was built for dataset: diabetes_9
