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

Antoine Neuraz   ^{1, 2, 3} , MD ;   Ivan Lerner   ^{1, 2} , MD ;   William Digan   ^{2, 4} , MSc ;   Nicolas Paris   ⁵ , MSc ;   Rosy Tsopra   ^{2, 4} , MD, PhD ;   Alice Rogier   ^{2, 4} , MSc ;   David Baudoin   ^{2, 4} , MSc ;   Kevin Bretonnel Cohen   ⁶ , PhD ;   Anita Burgun   ^{1, 2, 4} , MD, PhD ;   Nicolas Garcelon   ^{2, 7} , PhD ;   Bastien Rance   ^{2, 4} , PhD ;   AP-HP/Universities/INSERM COVID-19 Research Collaboration; AP-HP COVID CDR Initiative   ⁸

¹ Department of Biomedical Informatics, Necker-Enfant Malades Hospital, Assistance Publique – Hôpitaux de Paris (AP-HP), Paris, France

² Centre de Recherche des Cordeliers, INSERM UMRS 1138 Team 22, Université de Paris, Paris, France

³ LIMSI, CNRS, Université Paris Saclay, Orsay, France

⁴ Department of Biomedical Informatics, Georges Pompidou European Hospital, Assistance Publique – Hôpitaux de Paris (AP-HP), Paris, France

⁵ DSI WIND, Assistance Publique – Hôpitaux de Paris (AP-HP), Paris, France

⁶ School of Medicine, University of Colorado, Denver, CO, United States

⁷ Institut Imagine, INSERM U1163, Université Paris Descartes, Université de Paris, Paris, France

⁸ AP-HP/Universities/INSERM COVID-19 Research Collaboration: AP-HP COVID CDR Initiative, Paris, France