Ashenafi Zebene Woldaregay
Ashenafi Zebene Woldaregay
Researcher (Ph.D), Norwegian Centre for Clinical Artificial Intelligence (SPKI)
Verified email at - Homepage
Cited by
Cited by
Using fitness trackers and smartwatches to measure physical activity in research: analysis of consumer wrist-worn wearables
A Henriksen, M Haugen Mikalsen, AZ Woldaregay, M Muzny, ...
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
Reinforcement learning application in diabetes blood glucose control: A systematic review
M Tejedor, AZ Woldaregay, F Godtliebsen
Artificial intelligence in medicine 104, 101836, 2020
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 249, 151-157, 2018
Telemedicine services for the arctic: a systematic review
AZ Woldaregay, S Walderhaug, G Hartvigsen
JMIR medical informatics 5 (2), e6323, 2017
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
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
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
Intelligent Systems and Applications: Proceedings of the 2020 Intelligent …, 2021
User expectations and willingness to share self-collected health data
AZ Woldaregay, A Henriksen, DZ Issom, G Pfuhl, K Sato, A Richard, ...
IOS Press, 2020
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
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 wireless communication platform for a real-time infectious disease outbreak detection system using self-recorded data from people with type 1 diabetes
AZ Woldaregay, E Årsand, A Giordanengo, D Albers, L Mamykina, ...
The 15th Scandinavian Conference on Health Informatics, 2017
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
K-cusum: Cluster detection mechanism in edmon
P Yeng, AZ Woldaregay, G Hartvigsen
LiU: Linköping University Electronic Press, 2019
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
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
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, ...
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
mHealth: Where is the potential for aiding informal caregivers?
M Bradway, AZ Woldaregay, DZ Issom, G Pfuhl, G Hartvigsen, E Årsand, ...
IOS Press, 2021
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