Ashenafi Zebene Woldaregay

According to our database, Ashenafi Zebene Woldaregay authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exploring surgical infection prediction: A comparative study of established risk indexes and a novel model.

Kjersti Mevik, Ashenafi Zebene Woldaregay, Alexander Ringdal, Karl Øyvind Mikalsen, Yuan Xu

Int. J. Medical Informatics, 2024

Instruction-guided deidentification with synthetic test cases for Norwegian clinical text.

Jørgen Aarmo Lund, Karl Øyvind Mikalsen, Per Joel Burman, Ashenafi Zebene Woldaregay, Robert Jenssen

Proceedings of the Northern Lights Deep Learning Conference, 2024

Categorization of phenotype trajectories utilizing transformers on clinical time-series.

Helge Fredriksen, Per Joel Burman, Ashenafi Zebene Woldaregay, Karl Øyvind Mikalsen, Ståle Nymo

Proceedings of the 2024 9th International Conference on Machine Learning Technologies, 2024

2023

Approaching adverse event detection utilizing transformers on clinical time-series.

Helge Fredriksen, Per Joel Burman, Ashenafi Zebene Woldaregay, Karl Øyvind Mikalsen, Ståle Nymo

CoRR, 2023

2021

mHealth: Where Is the Potential for Aiding Informal Caregivers?

Meghan Bradway, Ashenafi Zebene Woldaregay, David-Zacharie Issom, Gerit Pfuhl, Gunnar Hartvigsen, Eirik Årsand, André Henriksen

Proceedings of the Public Health and Informatics, 2021

2020

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

Miguel Tejedor, Ashenafi Zebene Woldaregay, Fred Godtliebsen

Artif. Intell. Medicine, 2020

User Expectations and Willingness to Share Self-Collected Health Data.

Ashenafi Zebene Woldaregay, André Henriksen, David-Zacharie Issom, Gerit Pfuhl, Keiichi Sato, Aude Richard, Christian Lovis, Eirik Årsand, Jessica Rochat, Gunnar Hartvigsen

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

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

Prosper Kandabongee Yeng, Livinus Obiora Nweke, Ashenafi Zebene Woldaregay, Bian Yang, Einar Arthur Snekkenes

Proceedings of the Intelligent Systems and Applications, 2020

2019

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

Ashenafi Zebene Woldaregay, Eirik Årsand, Ståle Walderhaug, David J. Albers, Lena Mamykina, Taxiarchis Botsis, Gunnar Hartvigsen

Artif. Intell. Medicine, 2019

2018

Motivational Factors for User Engagement with mHealth Apps.

Ashenafi Zebene Woldaregay, David-Zacharie Issom, André Henriksen, Henna Marttila, Martin Mikalsen, Gerit Pfuhl, Keiichi Sato, Christian Lovis, Gunnar Hartvigsen

Proceedings of the pHealth 2018 - Proceedings of the 15th International Conference on Wearable Micro and Nano Technologies for Personalized Health,, 2018

2017

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

Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, Gunnar Hartvigsen

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

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

Bisrat Derebssa Dufera, Ashenafi Zebene Woldaregay

Proceedings of the IEEE AFRICON 2017, Cape Town, South Africa, September 18-20, 2017, 2017