Technical Report XXV
A Bayesian Inference Based Computational Tool for Parametric and Nonparametric Medical Diagnosis
T Chatzimichail, AT Hatjimihail
Abstract
This software tool employs Bayesian inference to calculate the posterior probability of a disease diagnosis. It comprises three distinct modules, each designed to allow users to define and compare parametric and nonparametric distributions. The tool is designed to analyze datasets generated from two separate diagnostic tests, each performed on both diseased and nondiseased populations.
Published
2023
Citation
Chatzimichail T, Hatjimihail AT. A Bayesian Inference Based Computational Tool for Parametric and Nonparametric Medical Diagnosis. Technical Report XXV. Drama: Hellenic Complex Systems Laboratory, 2023. Available at: https://www.hcsl.com/TR/hcsltr25/hcsltr25.pdf
Source code (Revised on 06/10/2023)
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