HCSL Software Repository
Bayesian Diagnostic Insights
Chatzimichail T, Hatjimihail AT. Bayesian Diagnostic Insights: A Software Tool for Applying Bayes' Theorem in Medical Diagnostics. Ver. 2.1.0. Hellenic Complex Systems Laboratory; 2024.
Software Synopsis
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 probabilities for disease and absence of the disease, as well as the diagnostic threshold-derived positive and negative predictive values. . It uses advanced uncertainty propagation methods to quantify their standard sampling, measurement, and combined uncertainty using normal, lognormal, and gamma distributions. The tool enhances the estimation process and facilitates the comparison of these Bayesian diagnostic measures, which are critical for medical practice. Furthermore, it provides a robust framework for analyzing uncertainty, thereby aiding in the understanding and applying of probabilistic methods in medical diagnostics.
Source (Revised on 04/11/2024)
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
Terms of Use
The material made freely available by Hellenic Complex Systems Laboratory is subject to its Terms of Use.