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. https://www.hcsl.com/TR/hcsltr25/hcsltr25.pdf


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Source code (Revised on 06/10/2023)