Ashenafi Zebene Woldaregay

发表

Data-Driven and Artificial Intelligence (AI) Approach for Modelling and Analyzing Healthcare Security Practice: A Systematic Review

Bian Yang, Livinus Obiora Nweke, Prosper Kandabongee Yeng, 2020, IntelliSys.

Motivational Factors for User Engagement with mHealth Apps

Christian Lovis, Gerit Pfuhl, Gunnar Hartvigsen, 2018, pHealth.

K-CUSUM: Cluster Detection Mechanism in EDMON

Gunnar Hartvigsen, Ashenafi Zebene Woldaregay, Prosper K. Yeng, 2019 .

Cluster Detection Mechanisms for Syndromic Surveillance Systems: Systematic Review and Framework Development

Gunnar Hartvigsen, Terje Solvoll, Prosper Kandabongee Yeng, 2018, JMIR public health and surveillance.

User Expectations and Willingness to Share Self-Collected Health Data

Gerit Pfuhl, Gunnar Hartvigsen, Eirik Årsand, 2020, MIE.

Systems integrating self-collected health data by patients into EHRs: a State-of-the-art review

Gunnar Hartvigsen, Eirik Årsand, Miroslav Muzny, 2018 .

Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes

Lena Mamykina, Gunnar Hartvigsen, Eirik Årsand, 2019, Artif. Intell. Medicine.

Reinforcement learning application in diabetes blood glucose control: A systematic review

Fred Godtliebsen, Ashenafi Zebene Woldaregay, Miguel Tejedor, 2020, Artif. Intell. Medicine.

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

Gunnar Hartvigsen, Eirik Årsand, Taxiarchis Botsis, 2019 .

Literatures Review of Telemedicine Services in Maritime and Extreme Weather

Gunnar Hartvigsen, Ashenafi Zebene Woldaregay, Ståle Walderhaug, 2016 .

Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes

Lena Mamykina, Gunnar Hartvigsen, Eirik Årsand, 2019, Journal of medical Internet research.

An Early Infectious Disease Outbreak Detection Mechanism Based on Self-Recorded Data from People with Diabetes

Gunnar Hartvigsen, Eirik Årsand, Taxiarchis Botsis, 2017, MedInfo.

Bimodal biometrics for efficient human recognition using wavelet, principal component analysis and artificial neural network

Bisrat Derebssa Dufera, Ashenafi Zebene Woldaregay, 2017, 2017 IEEE AFRICON.

A systematic review of cluster detection mechanisms in syndromic surveillance: Towards developing a framework of cluster detection mechanisms for EDMON system

Gunnar Hartvigsen, Terje Solvoll, Prosper Kandabongee Yeng, 2018 .

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

Gunnar Hartvigsen, Eirik Årsand, Jorge Igual, 2020, Journal of medical Internet research.

Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables

Gunnar Hartvigsen, Miroslav Muzny, Ashenafi Zebene Woldaregay, 2018, Journal of medical Internet research.

mHealth: Where Is the Potential for Aiding Informal Caregivers?

Gerit Pfuhl, Gunnar Hartvigsen, Eirik Årsand, 2021, MIE.

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

Ashenafi Zebene Woldaregay, G. Hartvigsen, E. Årsand, 2020, Journal of medical Internet research.

Mobile applications for people with diabetes published between 2010 and 2015

Gunnar Hartvigsen, Eirik Årsand, Ashenafi Zebene Woldaregay, 2015 .

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

Ashenafi Zebene Woldaregay, G. Hartvigsen, C. Lovis, 2020, JMIR human factors.

Electronic disease surveillance system based on inputs from people with diabetes: an early outbreak detection mechanism.

Ashenafi Zebene Woldaregay, 2016 .

Telemedicine Services for the Arctic: A Systematic Review

Ashenafi Zebene Woldaregay, G. Hartvigsen, Ståle Walderhaug, 2017, JMIR medical informatics.

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

Ashenafi Zebene Woldaregay, G. Hartvigsen, E. Årsand, 2019, JMIR diabetes.

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

Ashenafi Zebene Woldaregay, G. Hartvigsen, E. Årsand, 2018 .

Systems integrating self-collected health data by patients into EHRs and medical systems : a State-ofthe-art review

Ashenafi Zebene Woldaregay, Giordanengo Alain, Bradway Meghan, 2018 .

Dataset of fitness trackers and smartwatches to measuring physical activity in research

Ashenafi Zebene Woldaregay, G. Hartvigsen, André Henriksen, 2022, BMC research notes.

Ashenafi Zebene Woldaregay, J. Igual, G. Hartvigsen, 2020 .

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 (Preprint)

Ashenafi Zebene Woldaregay, G. Hartvigsen, C. Lovis, 2019 .

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 (Preprint)

Ashenafi Zebene Woldaregay, G. Hartvigsen, E. Årsand, 2020 .

Design and pre-study assessment of a dashboard for presenting self-collected health data from patients with diabetes to clinicians (Preprint)

Ashenafi Zebene Woldaregay, G. Hartvigsen, E. Årsand, 2019 .

Ashenafi Zebene Woldaregay, J. Igual, G. Hartvigsen, 2020 .