Published on in Vol 22, No 8 (2020): August
Toward Detecting Infection Incidence in People With Type 1 Diabetes Using Self-Recorded Data (Part 1): A Novel Framework for a Personalized Digital Infectious Disease Detection System
Toward Detecting Infection Incidence in People With Type 1 Diabetes Using Self-Recorded Data (Part 1): A Novel Framework for a Personalized Digital Infectious Disease Detection System
1 Department of Computer Science, University of Tromsø – The Arctic University of Norway, Tromsø, Norway
2 Department of Clinical Research, University Hospital of North Norway, Tromsø, Norway
3 Department of Pediatrics, Informatics and Data Science, University of Colorado, Aurora, CO, United States
4 Department of Biomedical Informatics, Columbia University, New York, NY, United States
5 Department of ICT in Medicine, Faculty of Biomedical Engineering, Czech Technical University, Prague, Czech Republic
6 Spin-off Company and Research Results Commercialization Center of the First Faculty of Medicine, Charles University, Prague, Czech Republic