Ashenafi Zebene Woldaregay
Cardiology and Cardiovascular Medicine · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cardiology and Cardiovascular Medicine — 6 citations into it
Whom Ashenafi Zebene Woldaregay trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ashenafi Zebene Woldaregay's perspective
Ordered by how strongly the researchers Ashenafi Zebene Woldaregay trusts endorse each paper. Same corpus, a different order for every researcher.
- Anomaly detection: A survey
- The global economic burden of diabetes in adults aged 20-79 years: a cost-of-illness study. (The Lancet Diabetes and Endocrinology)
- Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark (International Conference on Machine Learning and Applications)
- Accelerometers and pedometers: methodology and clinical application (Current opinion in clinical nutrition and metabolic care)
- Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis (JMIR mHealth and uHealth)
- Artificial Intelligence for Diabetes Management and Decision Support: Literature Review (Journal of Medical Internet Research)
- Systematic review of the validity and reliability of consumer-wearable activity trackers (International Journal of Behavioral Nutrition and Physical Activity)
- Effect of Wearable Technology Combined With a Lifestyle Intervention on Long-term Weight Loss: The IDEA Randomized Clinical Trial. (Journal of the American Medical Association (JAMA))
- Photoplethysmography and its application in clinical physiological measurement (Physiological Measurement)
- Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort (bioRxiv)
Their papers
- Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes (2019) — 306 citations
- Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes (2019) — 144 citations
- Using Fitness Trackers and Smartwatches to Measure Physical Activity in Research: Analysis of Consumer Wrist-Worn Wearables (2018) — 499 citations