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