| 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 | 656 | 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 | 322 | 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 | 164 | 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 | 153 | 2019 |
| 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 | 71 | 2021 |
| Motivational factors for user engagement with mHealth apps AZ Woldaregay, DZ Issom, A Henriksen, H Marttila, M Mikalsen, G Pfuhl, ... pHealth 2018, 151-157, 2018 | 55 | 2018 |
| Telemedicine services for the arctic: a systematic review AZ Woldaregay, S Walderhaug, G Hartvigsen JMIR medical informatics 5 (2), e6323, 2017 | 50 | 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 | 32 | 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 | 26 | 2020 |
| Data-Driven and Artificial Intelligence (AI) Approach for Modelling and Analyzing Healthcare Security Practice: A Systematic AZ Woldaregay, B Yang, EA Snekkenes Intelligent Systems and Applications: Proceedings of the 2020 Intelligent …, 2020 | 20 | 2020 |
| User expectations and willingness to share self-collected health data AZ Woldaregay, A Henriksen, DZ Issom, G Pfuhl, K Sato, A Richard, ... Digital Personalized Health and Medicine, 894-898, 2020 | 20 | 2020 |
| 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 | 14 | 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 | 14 | 2015 |
| 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 | 11 | 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 | 9 | 2020 |
| K-cusum: Cluster detection mechanism in edmon P Yeng, AZ Woldaregay, G Hartvigsen LiU: Linköping University Electronic Press, 2019 | 8 | 2019 |
| Dataset of fitness trackers and smartwatches to measuring physical activity in research A Henriksen, AZ Woldaregay, M Muzny, G Hartvigsen, LA Hopstock, ... BMC Research Notes 15 (1), 258, 2022 | 7 | 2022 |
| 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 | 7 | 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 2017: Precision Healthcare through Informatics, 619-623, 2017 | 7 | 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, ... | 6 | 2018 |
Gunnar HartvigsenProfessor at University of Tromsø - The Arctic University of Norway & Helgeland Hospital TrustVerified email at uit.no