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ID 118094
タイトル別表記
B. I. T. : Development of a dynamic visualization tool for Bayesian inference on normal distributions
著者
Inoue, Hiroki Niigata University of Health and Welfare
Moriwaki, Kensuke Kobe Pharmaceutical University
Yanagisawa, Shinichiro Himeji Dokkyo University
Nishimura, Kunihiro National Cerebral and Cardiovascular Center
キーワード
visualization tool
intuitive operation
normal distribution
medical decision-making
Bayesian inference
資料タイプ
学術雑誌論文
抄録
Bayesian inference Tool (B. I. T.) is a software program developed to support medical professionals and students in the application of Bayesian inference to medical decision-making and education. This software program makes it possible to visualize the posterior probability distributions of Bayesian inference. In addition, its interface aims to facilitate the intuitive understanding of the operative procedures. For many cases of Bayesian inference with normal distributions, the graphical representation of the posterior probability distribution changes dynamically when the input value is assigned by the user with the use of a computer mouse; this procedure also enables the dynamic calculation of the posterior probability. When operating this software, it is desirable for the user to have basic knowledge and understanding of the presuppositions as well as applications of Bayesian inference.
掲載誌名
Niigata Journal of Health and Welfare
ISSN
13468782
cat書誌ID
AA11614542
出版者
新潟医療福祉学会
19
1
開始ページ
24
終了ページ
36
発行日
2019
EDB ID
フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
教養教育院