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Genet Tadese Aboye
Genet Tadese Aboye
PhD researcher , KU Leuven Belgium
在 kuleuven.be 的电子邮件经过验证
标题
引用次数
引用次数
年份
Deep learning based fetal distress detection from time frequency representation of cardiotocogram signal using Morse wavelet: research study
YD Daydulo, BL Thamineni, HK Dasari, GT Aboye
BMC Medical Informatics and Decision Making 22 (1), 329, 2022
72022
The impact of khat chewing on heart activity and rehabilitation therapy from khat addiction in healthy khat chewers
EA Kassaw, GT Aboye, D Yilma, S Dhaba, GL Simegn
Scientific Reports 12 (1), 22083, 2022
62022
Current evidence on the use of mHealth approaches in Sub-Saharan Africa: A scoping review
GT Aboye, MV Walle, GL Simegn, JM Aerts
Health Policy and Technology, 100806, 2023
52023
mHealth in sub-Saharan Africa and Europe: A systematic review comparing the use and availability of mHealth approaches in sub-Saharan Africa and Europe
GT Aboye, M Vande Walle, GL Simegn, JM Aerts
Digital health 9, 20552076231180972, 2023
52023
mHealth in Sub-Saharan Africa and Europe: Context of current health, healthcare status, and demographic structure
GT Aboye, M Vande Walle, GL Simegn, JM Aerts
Digital Health 9, 20552076231178420, 2023
22023
Muscle Fatigue Analysis and Stress Detection from Surface EMG and ECG Using Deep Learning for Upper-Limb Trauma Rehabilitation
E Kassaw, E Worassa, K Fetene, G Aboye
12023
Diagnostic error during antenatal care visit in selected health facilities of Ethiopia: a survey
BM Gebremariam, GT Aboye, AA Dessalegn, GL Simegn
Discover Health Systems 3 (1), 14, 2024
2024
Muscle Fatigue Analysis and Stress Detection from Surface EMG and ECG Data Obtained Using Deep Learning for Upper-Limb Trauma Rehabilitation
EK Worassa, KA Fante, GT Aboye, EA Kassaw
International Internal Medicine Journal 2 (3), 1-9, 2024
2024
Assessment of the Barriers and Enablers of the Use of mHealth Systems in Sub-Saharan Africa According to the Perceptions of Patients, Physicians, and Health Care Executives in …
GT Aboye, GL Simegn, JM Aerts
Journal of medical Internet research 26, e50337, 2024
2024
Rule-based expert system for the diagnosis of maternal complications during pregnancy: For low resource settings
BM Gebremariam, GT Aboye, AA Dessalegn, GL Simegn
Digital Health 10, 20552076241230073, 2024
2024
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