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covid-19-network

We constructed network embeddings for COVID-19 by applying the node2vec model over a co-occurrence network derived from the CORD-19-on-FHIR dataset.

Additional code can be found at covid-19-network-embeddings.

Paper

Our work has been published at Journal of the American Medical Informatics Association (JAMIA) and is available at this link: https://academic.oup.com/jamia/article/doi/10.1093/jamia/ocaa117/5847598.

Visualization

The network is visualized using Bokeh and is available here: https://www.davidoniani.com/covid-19-network.

Developers

covid-19-network has been developed by David Oniani and Dr. Feichen Shen.

Implementation

covid-19-network has been implemented by David Oniani.

Collaborators

Dr. Guoqian Jiang and Dr. Hongfang Liu

References

About

Code for the Paper "Constructing Co-occurrence Network Embeddings to Assist Association Extraction for COVID-19 and Other Coronavirus Infectious Diseases"

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