Bilde av Woldaregay, Ashenafi Zebene
Bilde av Woldaregay, Ashenafi Zebene
Dihtorteknologiija ja meroštanvuđot inšenevrafágaid instituhtta awo012@post.uit.no +4777646444 Tromsø

Ashenafi Zebene Woldaregay



  • Kjersti Mevik, Ashenafi Zebene Woldaregay, Alexander Ringdal, Karl Øyvind Mikalsen, Yuan Xu :
    Exploring surgical infection prediction: A comparative study of established risk indexes and a novel model
    International Journal of Medical Informatics 2024 DOI
  • André Henriksen, David-Zacharie Issom, Ashenafi Zebene Woldaregay, Gerit Pfuhl, Eirik Årsand, Keiichi Sato et al.:
    Dataset of motivational factors for using mobile health applications and systems
    Data in Brief 16. Sep 2023 ARKIV / DOI
  • André Henriksen, Gerit Pfuhl, Ashenafi Zebene Woldaregay, David-Zacharie Issom, Eirik Årsand, Keiichi Sato et al.:
    Expectations of users and non-users of wearable sensors and mobile health applications
    2022 ARKIV / DOI
  • André Henriksen, Ashenafi Zebene Woldaregay, Miroslav Muzny, Gunnar Hartvigsen, Laila Arnesdatter Hopstock, Sameline Grimsgaard :
    Dataset of fitness trackers and smartwatches to measuring physical activity in research
    BMC Research Notes 2022 ARKIV / DOI
  • Meghan Bradway, Ashenafi Zebene Woldaregay, David-Zacharie Issom, Gerit Pfuhl, Gunnar Hartvigsen, Eirik Årsand et al.:
    mHealth: Where Is the Potential for Aiding Informal Caregivers?
    Studies in Health Technology and Informatics 2021 ARKIV / DOI
  • Ashenafi Zebene Woldaregay, Ilkka Kalervo Launonen, Eirik Årsand, David Albers, Anna Holubova, Gunnar Hartvigsen :
    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 System
    Journal of Medical Internet Research 2020 ARKIV / DOI
  • Ashenafi Zebene Woldaregay, Ilkka Kalervo Launonen, David Albers, Jorge Igual, Eirik Årsand, Gunnar 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 2): A Personalized Digital Infectious Disease Detection Mechanism
    Journal of Medical Internet Research 2020 ARKIV / DOI
  • Ashenafi Zebene Woldaregay, André Henriksen, David-Zacharie Issom, Gerit Pfuhl, Keiichi Sato, Aude Richard et al.:
    User Expectations and Willingness to Share Self-collected Health Data
    Studies in Health Technology and Informatics 2020 ARKIV / DOI
  • Prosper Yeng, Ashenafi Zebene Woldaregay, Terje Geir Solvoll, Gunnar Hartvigsen :
    Cluster detection mechanisms for syndromic surveillance systems: Systematic review and framework development
    JMIR Public Health and Surveillance 26. May 2020 ARKIV / DOI
  • Prosper Yeng, Livinus Obiora Nweke, Ashenafi Zebene Woldaregay, Bian Yang, Einar Arthur Snekkenes :
    Data-Driven and Artificial Intelligence (AI) Approach for Modelling and Analyzing Healthcare Security Practice: A Systematic Review
    Advances in Intelligent Systems and Computing 2020 ARKIV / DOI
  • David-Zacharie Issom, André Henriksen, Ashenafi Zebene Woldaregay, Jessica Rochat, Christian Lovis, Gunnar Hartvigsen :
    Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements
    JMIR Human Factors 2020 ARKIV / DOI
  • Miguel Angel Tejedor Hernandez, Ashenafi Zebene Woldaregay, Fred Godtliebsen :
    Reinforcement learning application in diabetes blood glucose control: A systematic review
    Artificial Intelligence in Medicine 2020 ARKIV / DOI
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, David Albers, Lena Mamykina, Gunnar Hartvigsen :
    Data-driven blood glucose pattern classification and anomalies detection: Machine-learning applications in Type 1 diabetes
    Journal of Medical Internet Research 2019 ARKIV / DOI
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Ståle Walderhaug, David Albers, Lena Mamykina, Taxiarchis Botsis et al.:
    Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes
    Artificial Intelligence in Medicine 2019 ARKIV / DOI
  • Alain Giordanengo, Eirik Årsand, Ashenafi Zebene Woldaregay, Meghan Bradway, Astrid Grøttland, Gunnar Hartvigsen et al.:
    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
    JMIR Diabetes 2019 ARKIV / DOI
  • Sverre Coucheron, Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, Gunnar 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 implementation
    Linköping Electronic Conference Proceedings 2019 ARKIV / FULLTEKST
  • Prosper Yeng, Ashenafi Zebene Woldaregay, Gunnar Hartvigsen :
    K-CUSUM: Cluster Detection Mechanism in EDMON
    Linköping Electronic Conference Proceedings 2019 ARKIV / FULLTEKST
  • André Henriksen, Martin Haugen Mikalsen, Ashenafi Zebene Woldaregay, Miroslav Muzny, Gunnar Hartvigsen, Laila Arnesdatter Hopstock et al.:
    Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables
    Journal of Medical Internet Research 2018 ARKIV / DOI
  • Ashenafi Zebene Woldaregay, David-Zacharie Issom, André Henriksen, Henna Martilla, Martin Haugen Mikalsen, Gerit Pfuhl et al.:
    Motivational factors for user engagement with mHealth apps
    Studies in Health Technology and Informatics 2018 DOI
  • Prosper Kandabongee Yeng, Ashenafi Zebene Woldaregay, Terje Solvoll, Gunnar Hartvigsen :
    A systematic review of cluster detection mechanisms in syndromic surveillance: Towards developing a framework of cluster detection mechanisms for EDMON system
    Linköping Electronic Conference Proceedings 2018 FULLTEKST / ARKIV / DOI
  • Alain Giordanengo, Meghan Bradway, Miroslav Muzny, Ashenafi Zebene Woldaregay, Gunnar Hartvigsen, Eirik Årsand :
    Systems integrating self-collected health data by patients into EHRs and medical systems: a State-of-the-art review
    Linköping Electronic Conference Proceedings 2017 FULLTEKST
  • Bisrat Derebssa Dufera, Ashenafi Zebene Woldaregay :
    Bimodal biometrics for efficient human recognition using wavelet, principal component analysis and artificial neural network
    Proceedings (African Electrical Technology Conference) 07. Nov 2017 DOI
  • Ashenafi Zebene Woldaregay, Ståle Walderhaug, Gunnar Hartvigsen :
    Telemedicine Services for the Arctic: A systematic review
    JMIR Medical Informatics 2017 FULLTEKST / ARKIV / DOI
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Alain Giordanengo, David Albers, Lena Mamykina, Taxiarchis Botsis et al.:
    EDMON - A Wireless Communication Platform for a Real-Time Infectious Disease Outbreak Detection System Using Self-Recorded Data from People with Type 1 Diabetes
    Linköping Electronic Conference Proceedings 2017 FULLTEKST
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, Gunnar Hartvigsen :
    An Early Infectious Disease Outbreak Detection Mechanism Based on Self-Recorded Data from People with Diabetes
    Studies in Health Technology and Informatics 2017 FULLTEKST / DOI
  • Ashenafi Zebene Woldaregay, Klaske van Vuurden, Eirik Årsand, Taxiarchis Botsis, Gunnar Hartvigsen :
    Electronic Disease Surveillance System Based on Inputs from People with Diabetes: An Early Outbreak Detection Mechanism
    Linköping University Electronic Press 2016 FULLTEKST
  • David-Zacharie Issom, Ashenafi Zebene Woldaregay, Taridzo Chomutare, Meghan Bradway, Eirik Årsand, Gunnar Hartvigsen :
    Mobile applications for people with diabetes published between 2010 and 2015
    Diabetes Management 2015 DOI
  • André Henriksen, Gerit Pfuhl, Ashenafi Zebene Woldaregay, David-Zacharie Issom, Eirik Årsand, Keiichi Sato et al.:
    Expectations of users and non-users of wearable sensors and mobile health applications
    2022
  • Gunnar Hartvigsen, Ashenafi Zebene Woldaregay, Eirik Årsand :
    AI applied in diabetes research and care: glucose control
    2021
  • André Henriksen, Ashenafi Zebene Woldaregay, David-Zacharie Issom, Keiichi Sato, Eirik Årsand, Meghan Bradway et al.:
    What motivates patients with NCDs to follow up their treatment?
    2021 ARKIV
  • Pietro Randine, Eirik Årsand, Ashenafi Zebene Woldaregay, Gunnar Hartvigsen :
    IFIs stipendiater og forskere produserer aktiv på helsefronten
    01. Jul 2020
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, Gunnar Hartvigsen :
    How People with Type 1 Diabetes can Assist in Disease Outbreak Detection
    2020
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, Gunnar Hartvigsen :
    HOW PEOPLE WITH TYPE 1 DIABETES CAN ASSIST IN DISEASE OUTBREAK DETECTION
    Diabetes Technology & Therapeutics 2020 FULLTEKST
  • Ashenafi Zebene Woldaregay :
    Electronic Disease Surveillance Monitoring Network (EDMON) – Development of a Digital Infectious Disease Outbreak Detection System Using Self-recorded Health Data from People with Type 1 Diabetes
    2019
  • Prosper Yeng, Ashenafi Zebene Woldaregay, Gunnar Hartvigsen :
    K-CUSUM: Cluster Detection Mechanism in EDMON
    2019
  • Sverre Coucheron, Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, Gunnar 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 Implementation
    2019
  • Prosper Kandabongee Yeng, Ashenafi Zebene Woldaregay, Terje Solvoll, Gunnar Hartvigsen :
    A Systematic Review of Cluster Detection Mechanisms in Syndromic Surveillance: Towards Developing a Framework of Cluster Detection Mechanism for EDMON System
    2018
  • Ashenafi Zebene Woldaregay, David-Zacharie Issom, André Henriksen, Henna Martilla, Martin Haugen Mikalsen, Gerit Pfuhl et al.:
    Motivational factors for user engagement with mHealth apps
    2018
  • Ashenafi Zebene Woldaregay, Taridzo Chomutare, Dave Albers, Lena Mamykina, Ole Kristian Hejlesen, Christian Lovis et al.:
    An early infectious disease outbreak detection system based on self-recorded data from people with diabetes
    Diabetes Technology & Therapeutics 2017
  • Ashenafi Zebene Woldaregay, Taridzo Chomutare, Dave Albers, Lena Mamykina, Ole Kristian Hejlesen, Christian Lovis et al.:
    An early infectious disease outbreak detection system based on self-recorded data from people with diabetes
    2017
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Gunnar Hartvigsen :
    Data Driven Blood Glucose Prediction: Interval vs. Point Blood Glucose Prediction?
    Diabetes Technology & Therapeutics 2017
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Gunnar Hartvigsen :
    Data Driven Blood Glucose Prediction: Interval vs. Point Blood Glucose Prediction?
    2017
  • Alain Giordanengo, Meghan Bradway, Miroslav Muzny, Ashenafi Zebene Woldaregay, Gunnar Hartvigsen, Eirik Årsand :
    Systems integrating self-collected health data by patients into EHRs and medical systems: a State-of-the-art review
    2017
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Alain Giordanengo, David Albers, Lena Mamykina, Taxiarchis Botsis et al.:
    EDMON - A Wireless Communication Platform for a Real-Time Infectious Disease Outbreak Detection System Using Self-Recorded Data from People with Type 1 Diabetes
    2017
  • Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, Gunnar Hartvigsen :
    An Early Infectious Disease Outbreak Detection Mechanism Based on Self-Recorded Data from People with Diabetes
    2017
  • Ashenafi Zebene Woldaregay, Gunnar Hartvigsen, Ståle Walderhaug :
    Appendix E Telemedisinske løsninger i maritime operasjoner og redningstjeneste
    2016 ARKIV
  • Ashenafi Zebene Woldaregay, Ståle Walderhaug, Gunnar Hartvigsen :
    Literatures Review of Telemedicine Services in Maritime and Extreme Weather
    2016
  • Ashenafi Zebene Woldaregay, Ståle Walderhaug, Gunnar Hartvigsen :
    Literatures Review of Telemedicine Services in Maritime and Extreme Weather
    International Journal of Integrated Care (IJIC) 2016 DOI

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