Ashenafi Zebene Woldaregay
Ashenafi Zebene Woldaregay
PhD Candidate, Department of Computer Science, UiT-The Arctic University of Norway
Verified email at uit.no - Homepage
Title
Cited by
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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), e110, 2018
1712018
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
322019
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
212019
Motivational Factors for User Engagement with mHealth Apps.
AZ Woldaregay, DZ Issom, A Henriksen, H Marttila, M Mikalsen, G Pfuhl, ...
pHealth, 151-157, 2018
182018
Telemedicine services for the arctic: a systematic review
AZ Woldaregay, S Walderhaug, G Hartvigsen
JMIR medical informatics 5 (2), e16, 2017
142017
Reinforcement learning application in diabetes blood glucose control: A systematic review
M Tejedor, AZ Woldaregay, F Godtliebsen
Artificial Intelligence in Medicine 104, 101836, 2020
122020
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
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
112015
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
92019
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
72017
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, ...
32018
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
22020
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
22020
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
22020
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
22019
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
22018
Literatures Review of Telemedicine Services in Maritime and Extreme Weather.
AZ Woldaregay, S Walderhaug, G Hartvigsen
International Journal of Integrated Care (IJIC) 16, 2016
22016
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
2
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
12020
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
12020
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