Machine Learning Based Rapid Self-Assessment and Understanding of COVID-19 Disease Progression to Support Public Policy Decisions

Machine Learning Based Rapid Self-Assessment and Understanding of COVID-19 Disease Progression to Support Public Policy Decisions

Authors
Anna Borynec, Baidya Saha
Discipline
Medical and biomedical engineering
Funder
Concordia University of Edmonton
Field
Engineering and Technology
Organization
Concordia University of Edmonton
Location
Canada
Description

This DMP aims to collect tweets from twitter, and use machine learning to analyze mental health patterns due to the Covid-19 pandemic.

Date Last Modified
2022
Keywords
Covid-19
social media
mental health
Twitter
tweets
data
python
machine learning