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Elena Daskalaki

Showing results (1-10 of 19) with videos related to

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Computer Methods and Programs in Biomedicine|April 17, 2012
An Actor-Critic based controller for glucose regulation in type 1 diabetesElena Daskalaki, Peter Diem, Stavroula G Mougiakakou
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Personalized tuning of a reinforcement learning control algorithm for glucose regulationElena Daskalaki, Peter Diem, Stavroula G Mougiakakou
Plos One|July 22, 2016
Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 DiabetesElena Daskalaki, Peter Diem, Stavroula G Mougiakakou
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Jointly Predicting Postprandial Hypoglycemia and Hyperglycemia Using Continuous Glucose Monitoring Data in Type 1 DiabetesRan Cui, Christopher J Nolan, Elena Daskalaki, et al.
Diabetes Technology & Therapeutics|October 14, 2011
Real-time adaptive models for the personalized prediction of glycemic profile in type 1 diabetes patientsElena Daskalaki, Aikaterini Prountzou, Peter Diem, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Multi-model data fusion to improve an early warning system for hypo-/hyperglycemic eventsRansford Henry Botwey, Elena Daskalaki, Peter Diem, et al.
Studies in Health Technology and Informatics|December 18, 2021
The Use of Event-Related Potentials and Machine Learning to Improve Diagnostic Testing and Prediction of Disease Progression in Parkinson's DiseaseRobin Vlieger, Elena Daskalaki, Deborah Apthorp, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Evaluating methods of oversampling and averaging resting-state electroencephalography data in classifying Parkinson's disease<sup></sup>Robin Vlieger, Hanna Suominen, Deborah Apthorp, et al.
Studies in Health Technology and Informatics|January 25, 2024
Evaluating Effects of Resting-State Electroencephalography Data Pre-Processing on a Machine Learning Task for Parkinson's DiseaseRobin Vlieger, Elena Daskalaki, Deborah Apthorp, et al.
Journal of Diabetes Science and Technology|June 14, 2013
An early warning system for hypoglycemic/hyperglycemic events based on fusion of adaptive prediction modelsElena Daskalaki, Kirsten Nørgaard, Thomas Züger, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Computer Methods and Programs in Biomedicine|April 17, 2012
An Actor-Critic based controller for glucose regulation in type 1 diabetesElena Daskalaki, Peter Diem, Stavroula G Mougiakakou
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Personalized tuning of a reinforcement learning control algorithm for glucose regulationElena Daskalaki, Peter Diem, Stavroula G Mougiakakou
Plos One|July 22, 2016
Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 DiabetesElena Daskalaki, Peter Diem, Stavroula G Mougiakakou
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Jointly Predicting Postprandial Hypoglycemia and Hyperglycemia Using Continuous Glucose Monitoring Data in Type 1 DiabetesRan Cui, Christopher J Nolan, Elena Daskalaki, et al.
Diabetes Technology & Therapeutics|October 14, 2011
Real-time adaptive models for the personalized prediction of glycemic profile in type 1 diabetes patientsElena Daskalaki, Aikaterini Prountzou, Peter Diem, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Multi-model data fusion to improve an early warning system for hypo-/hyperglycemic eventsRansford Henry Botwey, Elena Daskalaki, Peter Diem, et al.
Studies in Health Technology and Informatics|December 18, 2021
The Use of Event-Related Potentials and Machine Learning to Improve Diagnostic Testing and Prediction of Disease Progression in Parkinson's DiseaseRobin Vlieger, Elena Daskalaki, Deborah Apthorp, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Evaluating methods of oversampling and averaging resting-state electroencephalography data in classifying Parkinson's disease<sup></sup>Robin Vlieger, Hanna Suominen, Deborah Apthorp, et al.
Studies in Health Technology and Informatics|January 25, 2024
Evaluating Effects of Resting-State Electroencephalography Data Pre-Processing on a Machine Learning Task for Parkinson's DiseaseRobin Vlieger, Elena Daskalaki, Deborah Apthorp, et al.
Journal of Diabetes Science and Technology|June 14, 2013
An early warning system for hypoglycemic/hyperglycemic events based on fusion of adaptive prediction modelsElena Daskalaki, Kirsten Nørgaard, Thomas Züger, et al.
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