Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic

Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic

BackgroundA novel disease poses special challenges for informatics solutions. Biomedical informatics relies for the most part on structured data, which require a preexisting data or knowledge model; however, novel diseases do not have preexisting knowledge models. In an emergent epidemic, language p...

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Main Authors: Neuraz, Antoine (Author), Lerner, Ivan (Author), Digan, William (Author), Paris, Nicolas (Author), Tsopra, Rosy (Author), Rogier, Alice (Author), Baudoin, David (Author), Cohen, Kevin Bretonnel (Author), Burgun, Anita (Author), Garcelon, Nicolas (Author), Rance, Bastien (Author)
Format: Book
Published: JMIR Publications, 2020-08-01T00:00:00Z.
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