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Ashenafi Zebene Woldaregay
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2020 – today
- 2024
- [j3]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. Int. J. Medical Informatics 184: 105370 (2024) - [c8]Helge Fredriksen, Per Joel Burman, Ashenafi Zebene Woldaregay, Karl Øyvind Mikalsen, Ståle Nymo:
Categorization of phenotype trajectories utilizing transformers on clinical time-series. ICMLT 2024: 311-316 - [c7]Jørgen Aarmo Lund, Karl Øyvind Mikalsen, Per Joel Burman, Ashenafi Zebene Woldaregay, Robert Jenssen:
Instruction-guided deidentification with synthetic test cases for Norwegian clinical text. NLDL 2024: 145-152 - 2023
- [i1]Helge Fredriksen, Per Joel Burman, Ashenafi Zebene Woldaregay, Karl Øyvind Mikalsen, Ståle Nymo:
Approaching adverse event detection utilizing transformers on clinical time-series. CoRR abs/2311.09165 (2023) - 2021
- [c6]Meghan Bradway, Ashenafi Zebene Woldaregay, David-Zacharie Issom, Gerit Pfuhl, Gunnar Hartvigsen, Eirik Årsand, André Henriksen:
mHealth: Where Is the Potential for Aiding Informal Caregivers? MIE 2021: 885-890 - 2020
- [j2]Miguel Tejedor, Ashenafi Zebene Woldaregay, Fred Godtliebsen:
Reinforcement learning application in diabetes blood glucose control: A systematic review. Artif. Intell. Medicine 104: 101836 (2020) - [c5]Prosper Kandabongee 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. IntelliSys (1) 2020: 1-18 - [c4]Ashenafi Zebene Woldaregay, André Henriksen, David-Zacharie Issom, Gerit Pfuhl, Keiichi Sato, Aude Richard, Christian Lovis, Eirik Årsand, Jessica Rochat, Gunnar Hartvigsen:
User Expectations and Willingness to Share Self-Collected Health Data. MIE 2020: 894-898
2010 – 2019
- 2019
- [j1]Ashenafi Zebene Woldaregay, Eirik Årsand, Ståle Walderhaug, David J. Albers, Lena Mamykina, Taxiarchis Botsis, Gunnar Hartvigsen:
Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes. Artif. Intell. Medicine 98: 109-134 (2019) - 2018
- [c3]Ashenafi Zebene Woldaregay, David-Zacharie Issom, André Henriksen, Henna Marttila, Martin Mikalsen, Gerit Pfuhl, Keiichi Sato, Christian Lovis, Gunnar Hartvigsen:
Motivational Factors for User Engagement with mHealth Apps. pHealth 2018: 151-157 - 2017
- [c2]Bisrat Derebssa Dufera, Ashenafi Zebene Woldaregay:
Bimodal biometrics for efficient human recognition using wavelet, principal component analysis and artificial neural network. AFRICON 2017: 251-255 - [c1]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. MedInfo 2017: 619-623
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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