A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism
A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism
Ashenafi Zebene Woldaregay
1
, MSc ;
Ilkka Kalervo Launonen
2
, PhD ;
David Albers
3, 4
, PhD ;
Jorge Igual
5
, PhD ;
Eirik Årsand
1
, PhD ;
Gunnar Hartvigsen
1
, PhD
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
Universidad Politecnica Valencia, Valencia, Spain
Corresponding Author:
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Ashenafi Zebene Woldaregay, MSc
-
Department of Computer Science
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University of Tromsø – The Arctic University of Norway
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Hansine Hansens veg 54, Science building Realfagbygget, office A124
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Tromsø
-
Norway
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Phone:
47 46359333
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Email: ashenafi.z.woldaregay@uit.no