Overview of the COVID-19 text mining tool interactive demonstration track in BioCreative VII

Database (Oxford) 2023-02-15

Summary:

The coronavirus disease 2019 (COVID-19) pandemic has compelled biomedical researchers to communicate data in real time to establish more effective medical treatments and public health policies. Nontraditional sources such as preprint publications, i.e. articles not yet validated by peer review, have become crucial hubs for the dissemination of scientific results. Natural language processing (NLP) systems have been recently developed to extract and organize COVID-19 data in reasoning systems....

Link:

https://pubmed.ncbi.nlm.nih.gov/36197453/?utm_source=Other&utm_medium=rss&utm_campaign=journals&utm_content=101517697&fc=None&ff=20230215001918&v=2.17.9.post6+86293ac

From feeds:

📚BioDBS Bibliography » Database (Oxford)

Tags:

Authors:

Andrew Chatr-Aryamontri, Lynette Hirschman, Karen E Ross, Rose Oughtred, Martin Krallinger, Kara Dolinski, Mike Tyers, Tonia Korves, Cecilia N Arighi

Date tagged:

02/15/2023, 00:19

Date published:

10/05/2022, 06:00