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ID 118094
Title Alternative
B. I. T. : Development of a dynamic visualization tool for Bayesian inference on normal distributions
Author
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
Keywords
visualization tool
intuitive operation
normal distribution
medical decision-making
Bayesian inference
Content Type
Journal Article
Description
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.
Journal Title
Niigata Journal of Health and Welfare
ISSN
13468782
NCID
AA11614542
Publisher
新潟医療福祉学会
Volume
19
Issue
1
Start Page
24
End Page
36
Published Date
2019
EDB ID
FullText File
language
eng
TextVersion
Publisher
departments
Liberal Arts and Sciences