Predicting Episodes of Hypovigilance in Intensive Care Units Using Routine Physiological Parameters and Artificial Intelligence: Derivation Study

Raphaëlle Giguère   ^{1, 2} , MSc ;   Victor Niaussat   ^{3, 4} , MSc ;   Monia Noël-Hunter   ² , DCS ;   William Witteman   ² , MLIS ;   Tanya S Paul   ³ , MSc ;   Alexandre Marois   ^{3, 5} , PhD ;   Philippe Després   ^{6, 7} , PhD ;   Simon Duchesne   ^{6, 8 *} , PhD ;   Patrick M Archambault   ^{2, 9, 10, 11 *} , MD, MSc

¹ Department of Computer Sciences, Faculty of Sciences and Engineering, Université Laval, Québec, QC, Canada

² Centre de recherche intégrée pour un système apprenant en santé et services sociaux, Centre intégré de santé et de services sociaux de Chaudière-Appalaches, Lévis, QC, Canada

³ Thales Research and Technology Canada (TRT-CA), Québec, QC, Canada

⁴ Mathematics and Computer Science Department, École Centrale de Lille, Lille, France

⁵ School of Psychology, Université Laval, Québec, QC, Canada

⁶ Québec Heart and Lung Institute, Université Laval, Québec, QC, Canada

⁷ Department of Physics, Engineering Physics and Optics, Faculty of Sciences and Engineering, Université Laval, Québec, QC, Canada

⁸ Department of Radiology and Nuclear Medicine, Faculty of Medicine, Université Laval, Québec, QC, Canada

⁹ Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Québec, QC, Canada

¹⁰ VITAM - Centre de recherche en santé durable, Québec, QC, Canada

¹¹ Department of Anesthesiology and Intensive Care, Faculty of Medicine, Université Laval, Québec, QC, Canada

*these authors contributed equally