Namerlight / C19-Prediction-via-Symptoms-with-Fuzzy-Logic

Code for the Paper "Predicting the Possibility of COVID-19 Infection Using Fuzzy Logic System" (IJIIDS, Vol 14, 2021)

Prediction of COVID-19 from External Symptoms using a Type-2 Fuzzy System

Project for CSE470/573 - Theory of Fuzzy Systems

Supervisor: Dr. M. Rashedur Rahman

Credits:

Shadab Hafiz Choudhury
1631335042
[e-mail]

Table of Contents

1. Project Description
2. Packages and Libraries
3. Setup Instructions
4. Project Paper

1. Project Description

The aim of this project was to create an app to predict the possibility an individual is infected by COVID-19 by looking at the external symptoms they exhibit, such as coughing or fever.

To run the project, please download the source code and follow the instructions.

2. Main Packages and Libraries Used

• PyIT2FLS
• Numpy
• Matplotlib
• Pandas
• TKinter

3. Setup Instructions

1. Tested to be working on Python 3.7 and Python 3.8
2. Install all the necessary dependencies.

pip install -r requirements.txt

3. Execute the main file.

python main.py run

4. Paper

The paper has been accepted to the Inderscience International Journal of Intelligent Information and Database Systems. If you refer to this project anywhere else, please cite it:

S.H. Choudhury, A.J. Aurin, T.A. Mitaly, R.M. Rahman, Predicting the possibility of COVID-19 infection using fuzzy logic system, Int. J. Intell. Inf. Database Syst., 14 (2021), pp. 239-256, 10.1504/IJIIDS.2021.116465