HCSL Software Repository
Bayesian Diagnostic Uncertainty
Chatzimichail T, Hatjimihail AT. Bayesian Diagnostic Uncertainty: A Software Tool for Estimating Uncertainty of Bayesian Posterior Probability for Disease. Ver. 1.0.1.4. Hellenic Complex Systems Laboratory; 2024.
Software Synopsis
This software tool is an open access, specialized program that utilizes uncertainty propagation techniques to estimate the measurement, sampling and combined uncertainty in the Bayesian posterior probability for disease. It features two primary modules and fifteen submodules, designed to facilitate the estimation and graphical representation of the standard uncertainty of the posterior probability estimates for various diseased and non-diseased population samples, incorporating parameters such as the mean and standard deviation of the test measurand, the size of the samples as well as the components of standard measurement uncertainty inherent in screening and diagnostic tests.
Source (Revised on 21/07/2024)
Software Requirements
Operating systems: Microsoft Windows, Linux, Apple iOS
Programming language: Wolfram Language
Source file format: Wolfram Notebook
Other software requirements: Wolfram Player (freely available) or Wolfram Mathematica
Recommended system: Intel Core i9 or equivalent CPU and 32GB+ of RAM
The material made freely available by Hellenic Complex Systems Laboratory is subject to its Terms of Use.