alarm: One example dataset for p-plearning algorithm.
In equSA: Learning High-Dimensional Graphical Models
Description
Usage
Format
References
Description
The ALARM ("A Logical Alarm Reduction Mechanism") is a Bayesian network designed to provide an alarm message system for patient monitoring.
- alarm
An object of class 'bn' for 'alarm' dataset. See package bnlearn for detail.
Usage
1
Format
Alarm dataset is an object of class bn or bn.fit. See package bnlearn for detail.
References
Xu, S., Jia, B., and Liang, F. (2018). Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data. Submitted.
I. A. Beinlich, H. J. Suermondt, R. M. Chavez, and G. F. Cooper. The ALARM Monitoring System: A Case Study with Two Probabilistic Inference Techniques for Belief Networks. In Proceedings of the 2nd European Conference on Artificial Intelligence in Medicine, pages 247-256. Springer-Verlag, 1989.
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Description Usage Format References
Description
The ALARM ("A Logical Alarm Reduction Mechanism") is a Bayesian network designed to provide an alarm message system for patient monitoring.
- alarm
An object of class 'bn' for 'alarm' dataset. See package bnlearn for detail.
Usage
1 |
Format
Alarm dataset is an object of class bn or bn.fit. See package bnlearn for detail.
References
Xu, S., Jia, B., and Liang, F. (2018). Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data. Submitted.
I. A. Beinlich, H. J. Suermondt, R. M. Chavez, and G. F. Cooper. The ALARM Monitoring System: A Case Study with Two Probabilistic Inference Techniques for Belief Networks. In Proceedings of the 2nd European Conference on Artificial Intelligence in Medicine, pages 247-256. Springer-Verlag, 1989.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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