HCSL Software Repository

A. Programs

1. Chatzimichail T, Hatjimihail AT. Relation: A Software Tool for Exploring the Relation between Diagnostic Accuracy and Measurement Uncertainty. Ver. 1.0.4.4. Hellenic Complex Systems Laboratory; 2024.

Software Synopsis
Source (Revised on 21/07/2024)
Interface Documentation

2. Chatzimichail T, Hatjimihail AT. Diagnostic Uncertainty: A Software Tool for Calculating the Uncertainty of Diagnostic Accuracy Measures. Ver. 2.0.0.1. Hellenic Complex Systems Laboratory; 2024.

Software Synopsis
Source (Revised on 07/11/2024)
Interface Documentation

3. Chatzimichail T, Hatjimihail AT. Bayesian Diagnosis: A Bayesian Inference Based Computational Tool for Parametric and Nonparametric Medical Diagnosis. Ver. 1.0.6.4. Hellenic Complex Systems Laboratory; 2024.

Software Synopsis
Source (Revised on 21/07/2024)
Interface Documentation

4. Chatzimichail T, Hatjimihail AT. Bayesian Diagnostic Uncertainty: A Software Tool for Estimating Uncertainty of Bayesian Posterior Probability for Disease. Ver. 2.0.0. Hellenic Complex Systems Laboratory; 2024.

Source (Revised on 07/11/2024)
Software Synopsis
Interface Documentation

5. 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
Source (Revised on 04/11/2024)
Interface Documentation

6. Chatzimichail T. Enteral Nutrition Design: A Software Tool for Enteral Nutrition Design. Ver. 1.0.0.1. Hellenic Complex Systems Laboratory; 2024.

Software Synopsis
Source (Revised on 21/07/2024)
Interface Documentation

7. Chatzimichail RA, Hatjimihail AT. Quality: A Software Tool for Statistical Quality Control Design. Ver. 1.0.2.4. Hellenic Complex Systems Laboratory; 2024.

Software Synopsis
Source (Revised on 21/07/2024)
Technical Report

8. Chatzimichail RA, Hatjimihail AT. Intelligent Quality: A Software Tool for Exploring the Application of Convolutional Neural Networks to Quality Control Samples of Very Small Size. Ver. 1.1.3.4. Hellenic Complex Systems Laboratory; 2024.

Software Synopsis
Source (Revised on 21/07/2024)
Technical Report

9. Chatzimichail RA, Hatjimihail AT. Quality Control: A Software Tool for Statistical Quality Control Design and Evaluation. Ver. 1.1.3.4. Hellenic Complex Systems Laboratory; 2024.

Software Synopsis
Source (Revised on 21/07/2024)
Technical Report

10. Chatzimichail RA, Hatjimihail AT. Intelligent Quality Control: A Software Tool for Exploring the Application of Convolutional Neural Networks to Quality Control Samples of Very Small Size. Ver. 1.0.5.4. Hellenic Complex Systems Laboratory; 2024

Software Synopsis
Source (Revised on 21/07/2024)
Technical Report

B. Demonstrations

1. Hatjimihail AT. Receiver Operating Characteristic Curves and Uncertainty of Measurement. Wolfram Demonstrations Project. Wolfram Research; 2007.

Source (Revised on 10/03/2021)
Technical Report

2. Hatjimihail AT. Uncertainty of Measurement and Areas Over and Under the ROC Curves. Wolfram Demonstrations Project. Wolfram Research; 2009.

Source (Revised on 10/03/2021)
Technical Report

3. Hatjimihail AT. Uncertainty of Measurement and Diagnostic Accuracy Measures. Wolfram Demonstrations Project. Wolfram Research; 2009.

Source (Revised on 10/03/2021)
Technical Report

4. Hatjimihail AT. Tool for Quality Control Design and Evaluation. Wolfram Demonstrations Project. Wolfram Research; 2010.

Source (Revised on 04/08/2021)
Technical Report

5. Chatzimichail T. Analysis of Diagnostic Accuracy Measures. Wolfram Demonstrations Project. Wolfram Research; 2015.

Source (Revised on 10/03/2021)
Technical Report

6. Chatzimichail T. Enteral Nutritional Design. Wolfram Demonstrations Project. Wolfram Research; 2017.

Source (Revised on 01/06/2021)
Technical Report

7. Chatzimichail C, Hatjimihail AT. Network of Musical Instruments for Rhythm Accompaniment. Wolfram Demonstrations Project. Wolfram Research; 2018.

Source (Revised on 20/06/2021)
Technical Report

8. Chatzimichail T. Correlation of Positive and Negative Predictive Values. Wolfram Demonstrations Project. Wolfram Research; 2018.

Source (Revised on 10/03/2021)
Technical Report

9. Chatzimichail T, Hatjimihail AT. Analysis of Diagnostic Accuracy Measures for Two Combined Diagnostic Tests. Wolfram Demonstrations Project. Wolfram Research; 2018.

Source (Revised on 10/03/2021)
Technical Report

10. Chatzimichail T, Hatjimihail AT. Relation of Diagnostic Accuracy Measures. Wolfram Demonstrations Project. Wolfram Research; 2018.

Source (Revised on 10/03/2021)
Technical Report

11. Chatzimichail T. Calculator for Diagnostic Accuracy Measures. Wolfram Demonstrations Project. Wolfram Research; 2018.

Source (Revised on 10/03/2021)
Technical Report

12. Chatzimichail T, Hatjimihail AT. Calculation of Diagnostic Accuracy Measures. Wolfram Demonstrations Project. Wolfram Research; 2018.

Source (Revised on 10/03/2021)
Technical Report

13. Hatjimihail AT. The Area Over a Receiver Operating Characteristic (ROC) Curve as an Index of Diagnostic Inaccuracy. Wolfram Demonstrations Project. Wolfram Research; 2018.

Source (Revised on 10/03/2021)
Technical Report

14. Chatzimichail T, Hatjimihail AT. Exact Confidence Intervals for a Single Proportion. Wolfram Demonstrations Project. Wolfram Research; 2018.

Source (Revised on 10/03/2021)
Technical Report

15. Chatzimichail T, Hatjimihail AT. Inferences about the Difference between Two Proportions. Wolfram Demonstrations Project. Wolfram Research; 2018.

Source (Revised on 10/03/2021)
Technical Report

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 Systems

Relation : Intel Core i7 or equivalent CPU and 16GB+ of RAM

Diagnostic Uncertainty : Intel Core i9 or equivalent CPU and 32GB+ of RAM

Bayesian Diagnosis : Intel Core i9 or equivalent CPU and 32GB+ of RAM

Bayesian Diagnostic Uncertainty : Intel Core i9 or equivalent CPU and 32GB+ of RAM

Bayesian Diagnostic Insights : Intel Core i9 or equivalent CPU and 32GB+ of RAM

Enteral Nutrition Design : Intel Core i7 or equivalent CPU and 16GB+ of RAM

Quality : Intel Core i7 or equivalent CPU and 16GB+ of RAM

Quality Control : Intel Core i9 or equivalent CPU and 16GB+ of RAM

Intelligent Quality : Intel Core i7 or equivalent CPU and 16GB+ of RAM

Intelligent Quality Control : Intel Core i7 or equivalent CPU and 16GB+ of RAM

Demonstrations: x86-64 compatible CPU and 4GB+ of RAM

Terms of Use

The material made freely available by Hellenic Complex Systems Laboratory is subject to its Terms of Use.