There have been more than 125,000 people currently affected by Coronavirus all around the globe. According to health professionals, this number is going to increase drastically in the coming days.

Machine learning experts and computer scientists are trying to help the community in the way they can. Many researchers have started assembling datasets and build algorithms to detect COVID-19.


A dataset of the coronavirus cases is already up on Kaggle, which is a subsidiary of Google and an online community of data scientists and ML practitioners. The dataset is updated regularly with new cases being added. The dataset includes lots of information such as the age and location of the patient and many more.

Joseph Paul Cohen, Postdoctoral Fellow at the University of Montreal has gathered a dataset of chest X-ray images and CT scans and published it on his Github profile. Moreover, a database has been set up by Johns Hopkins University, which gives information about the spread of the disease around the world. Complete data is available on GitHub too.

A large number of datasets have come from hospitals directly, which are being used to train machine learning models, so they can help physicians diagnose the disease quickly.

These are some of the research papers: