Bayesian networks layer model to represent anesthetic practice

Naruhiko Shiratori, Naohito Okude

研究成果: Conference contribution

6 引用 (Scopus)

抜粋

This paper shows how to represent an anesthetic practice using bayesian networks layer model. There are three required points to represent anesthetic practice in operation room: multidimensionality, dynamics, and uncertainty. Normally, some deterministic models, expert system models, are selected for representing knowledge of medical experts. However, the model can not treat uncertainty and dynamics for anesthetic points. Bayesian network and dynamic bayesian network are well known to represent uncertainty and are used in many domains. The bayesian network models, however, do not correspond to multiply dynamics, which is the point for anesthetic practice. In addition, object oriented bayesian network has good points for representing multidimensionality functions, but does not correspond to individual expression for each anesthetist. So, we propose layered bayesian network to challenge the problems for individual expression and multiply dynamics. The layered model integrates three kinds of bayesian network model to represent functions of anesthetic practice.

元の言語English
ホスト出版物のタイトル2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
ページ674-679
ページ数6
DOI
出版物ステータスPublished - 2007 12 1
イベント2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada
継続期間: 2007 10 72007 10 10

出版物シリーズ

名前Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN(印刷物)1062-922X

Other

Other2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Canada
Montreal, QC
期間07/10/707/10/10

ASJC Scopus subject areas

  • Engineering(all)

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  • これを引用

    Shiratori, N., & Okude, N. (2007). Bayesian networks layer model to represent anesthetic practice. : 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 (pp. 674-679). [4414061] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2007.4414061