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Ashenafi Zebene Woldaregay
Ashenafi Zebene Woldaregay
Researcher (Ph.D), Norwegian Centre for Clinical Artificial Intelligence (SPKI)
Verified email at uit.no
Title
Cited by
Cited by
Year
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), e9157, 2018
3262018
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
982019
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
492019
Reinforcement learning application in diabetes blood glucose control: A systematic review
M Tejedor, AZ Woldaregay, F Godtliebsen
Artificial intelligence in medicine 104, 101836, 2020
412020
Motivational Factors for User Engagement with mHealth Apps.
AZ Woldaregay, DZ Issom, A Henriksen, H Marttila, M Mikalsen, G Pfuhl, ...
pHealth, 151-157, 2018
312018
Telemedicine services for the arctic: A systematic review
AZ Woldaregay, S Walderhaug, G Hartvigsen
JMIR medical informatics 5 (2), e6323, 2017
212017
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
162019
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
122015
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
112018
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
82020
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
72020
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
72020
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 2017: Precision Healthcare through Informatics, 619-623, 2017
72017
Data-driven and artificial intelligence (AI) approach for modelling and analyzing healthcare security practice: a systematic review
PK Yeng, LO Nweke, AZ Woldaregay, B Yang, EA Snekkenes
Proceedings of SAI Intelligent Systems Conference, 1-18, 2020
52020
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
42020
K-cusum: Cluster detection mechanism in edmon
P Yeng, AZ Woldaregay, G Hartvigsen
LiU: Linköping University Electronic Press, 2019
42019
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, ...
42018
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
32020
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
32020
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
32019
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