Fighting COVID-19 with Data and AI: A Review of Active Research Groups and Datasets20 Apr, 2020
AI-Based Systems Detecting COVID-19
1. DAMO Academy (Alibaba Group) Detects Coronavirus Cases in CT Scans
2. Lung Infection Quantification
3. Abnormal Respiratory Pattern Classification for Large Scale Screening
4. Convolutional Neural Networks for COVID-19 and Pneumonia Screening
5. COVID-19 Identification and Patient Monitoring Using Deep Learning for CT Image Analysis
6. Drug Screening for COVID-19
7. Computational Predictions of Protein Structures with AlphaFold
This research mainly addresses the problem of protein folding. You can think of proteins like large, complex molecules. Their three-dimensional structure changes as they perform different operations. The authors gave us an example of why identifying the structure of proteins is essential.
8. Prediction of Criticality of Patients with Severe COVID-19In this research, the authors propose prognostic prediction models based on three indices which will predict the mortality risk and clinical route for recognizing critical cases from severe cases.
Datasets for COVID-19These aforementioned groups have one thing in common: data! With more data, the algorithms get better and better. To help understand COVID-19, several companies and open-source organizations have developed different datasets.
Here are links to a few datasets that are being extensively put to use:
- COVID-19 Open Research Dataset Challenge (CORD-19): CORD-19 is a dataset by the Allen Institute for AI in collaboration with several companies and organizations. It consists of over 45,000 scholarly articles, 33,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses.
- COVID-19 Korea Dataset: This is an open-sourced dataset by the Republic of Korea for tracking a COVID-positive patient’s travel history. Using this dataset, an ML and web-based platform is developed for visualizing patient routes.
- Novel Coronavirus 2019 Dataset: This dataset has daily information on the number of cases, deaths, and recoveries from across different regions, including time-stamps.
- COVID19 ChextXRay Dataset: This data contains Chest-X-Rays of COVID-19 cases. Credits to Joseph Paul Cohen for making this dataset open on Github. Using this, one could try building a neural network classifier for detecting COVID-19 using X-Rays (note, however, that the data is quite limited for creating an effective model). People should not, however, claim the diagnostic performance of a model without a clinical study.