HCSL Software Repository
Bayesian Diagnostic Measures
Chatzimichail T, Hatjimihail AT. Bayesian Diagnostic Measures: A software tool for parametric estimation of Bayesian medical diagnostic measures and their uncertainty. Ver. 1.0.0. Drama: Hellenic Complex Systems Laboratory, 2024.
Description
This software tool is a specialized program developed in Wolfram Language for the parametric estimation, visualization, and comparison of Bayesian diagnostic measures and their uncertainty. The program utilizes Bayes' theorem to compute the posterior probability of disease and the diagnostic threshold-derived positive predictive value. It quantifies their standard sampling, measurement, and combined uncertainty using normal, lognormal, and gamma distributions, applying advanced uncertainty propagation methods. The tool enhances the estimation process and facilitates the comparison of posterior probability for disease and positive predictive value, both of which are critical for medical practice. Furthermore, it provides a robust framework for analyzing uncertainty, thereby aiding in the understanding and application of probabilistic methods in medical diagnostics.
Comment
Bayesian Diagnostic Insights is an upgrade over Bayesian Diagnostic Measures, delivering expanded functionalities.
Software Requirements
Operating Systems: Microsoft Windows, Linux, Apple iOS
Programming language: Wolfram Language
Software source code 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.