Ashenafi Zebene Woldaregay
Ashenafi Zebene Woldaregay
PhD Candidate, Department of Computer Science, UiT-The Arctic University of Norway
Verified email at - Homepage
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Using fitness trackers and smartwatches to measure physical activity in research: analysis of consumer wrist-worn wearables
A Henriksen, MH Mikalsen, AZ Woldaregay, M Muzny, G Hartvigsen, ...
Journal of medical Internet research 20 (3), e110, 2018
Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes
AZ Woldaregay, E Årsand, S Walderhaug, D Albers, L Mamykina, T Botsis, ...
Artificial intelligence in medicine 98, 109-134, 2019
Data-driven blood glucose pattern classification and anomalies detection: machine-learning applications in type 1 diabetes
AZ Woldaregay, E Årsand, T Botsis, D Albers, L Mamykina, G Hartvigsen
Journal of medical Internet research 21 (5), e11030, 2019
Motivational Factors for User Engagement with mHealth Apps.
AZ Woldaregay, DZ Issom, A Henriksen, H Marttila, M Mikalsen, G Pfuhl, ...
pHealth, 151-157, 2018
Telemedicine services for the arctic: A systematic review
AZ Woldaregay, S Walderhaug, G Hartvigsen
JMIR medical informatics 5 (2), e16, 2017
EDMON-A Wireless Communication Platform for a Real-Time Infectious Disease Outbreak De-tection System Using Self-Recorded Data from People with Type 1 Diabetes
AZ Woldaregay, E Årsand, A Giordanengo, D Albers, L Mamykina, ...
Proceedings from The 15th Scandinavian Conference on Health Informatics 2017 …, 2018
Mobile applications for people with diabetes published between 2010 and 2015
DZ Issom, AZ Woldaregay, T Chomutare, M Bradway, E Årsand, ...
Diabetes Management 5 (6), 539-550, 2015
Design and prestudy assessment of a dashboard for presenting self-collected health data of patients with diabetes to clinicians: iterative approach and qualitative case study
A Giordanengo, E Årsand, AZ Woldaregay, M Bradway, A Grottland, ...
JMIR diabetes 4 (3), e14002, 2019
Reinforcement learning application in diabetes blood glucose control: A systematic review
M Tejedor, AZ Woldaregay, F Godtliebsen
Artificial Intelligence in Medicine, 101836, 2020
An Early Infectious Disease Outbreak Detection Mechanism Based on Self-Recorded Data from People with Diabetes.
AZ Woldaregay, E Årsand, T Botsis, G Hartvigsen
MedInfo, 619-623, 2017
Systems integrating self-collected health data by patients into EHRs: a State-of-the-art review
A Giordanengo, M Bradway, M Muzny, A Woldaregay, G Hartvigsen, ...
Cluster Detection Mechanisms for Syndromic Surveillance Systems: Systematic Review and Framework Development
PK Yeng, AZ Woldaregay, T Solvoll, G Hartvigsen
JMIR Public Health and Surveillance 6 (2), e11512, 2020
EDMON-a system architecture for real-time infection monitoring and outbreak detection based on self-recorded data from people with type 1 diabetes: system design and prototype …
S Coucheron, AZ Woldaregay, E Årsand, T Botsis, G Hartvigsen
LiU: Linköping University Electronic Press, 2019
A systematic review of cluster detection mechanisms in syndromic surveillance: Towards developing a framework of cluster detection mechanisms for EDMON system
PK Yeng, AZ Woldaregay, T Solvoll, G Hartvigsen
Linköping University Electronic Press, 2018
Cluster detection mechanisms for syndromic surveillance systems: systematic review and framework development. JMIR Public Health Surveill. 2020 May 26; 6 (2): e11512. doi: 10 …
PK Yeng, AZ Woldaregay, T Solvoll, G Hartvigsen
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 …
AZ Woldaregay, IK Launonen, D Albers, J Igual, E Årsand, G Hartvigsen
Journal of medical Internet research 22 (8), e18912, 2020
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 …
AZ Woldaregay, IK Launonen, E Årsand, D Albers, A Holubová, ...
Journal of medical Internet research 22 (8), e18911, 2020
User Expectations and Willingness to Share Self-Collected Health Data
AZ Woldaregay, A Henriksen, D Issom, G Pfuhl, K Sato, A Richard, ...
Studies in health technology and informatics 270, 894-898, 2020
Data-Driven and Artificial Intelligence (AI) Approach for Modelling and Analyzing Healthcare Security Practice: A Systematic Review
P Yeng, LO Nweke, AZ Woldaregay, B Yang, EA Snekkenes
Springer Nature, 2020
Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of …
DZ Issom, A Henriksen, AZ Woldaregay, J Rochat, C Lovis, G Hartvigsen
JMIR Human Factors 7 (1), e14599, 2020
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