Skip to content

ShafayetRajit/Post-COVID19-Psychological-Distress-Detection-Using-Machine-Learning-Techniques

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 

Repository files navigation

Post COVID-19 Psychological Distress Detection Using Machine Learning Techniques

We aimed to create a machine learning model which will predict whether one is suffering from anxiety or other mental health problems. This project also focuses on finding out how much COVID-19 has affected our mental health in the long run.

Machine learning techniques used: Logistic Regression, KNN, and Decision Tree.

The data collection form consisted of two parts. One of them was on personal and demographic information, and the other one was a popular anxiety assessment questionnaire, GAD-7.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published