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Variables to Be Monitored via Biomedical Sensors for Complete Type 1 Diabetes Mellitus Management: An Extension of the “On-Board” Concept.
- Published in:
- Journal of Diabetes Research, 2018, p. 1, doi. 10.1155/2018/4826984
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- Article
Conceptualisation of an IoT Framework for Multi-Person Interaction with Conditioning Systems.
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- Energies (19961073), 2020, v. 13, n. 12, p. 3094, doi. 10.3390/en13123094
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- Article
On the Possibility of Predicting Glycaemia 'On the Fly' with Constrained IoT Devices in Type 1 Diabetes Mellitus Patients.
- Published in:
- Sensors (14248220), 2019, v. 19, n. 20, p. 4538, doi. 10.3390/s19204538
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- Publication type:
- Article
Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques.
- Published in:
- Sensors (14248220), 2019, v. 19, n. 20, p. 4482, doi. 10.3390/s19204482
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- Publication type:
- Article
A Comparison of Different Models of Glycemia Dynamics for Improved Type 1 Diabetes Mellitus Management with Advanced Intelligent Analysis in an Internet of Things Context.
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- Applied Sciences (2076-3417), 2020, v. 10, n. 12, p. 4381, doi. 10.3390/app10124381
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- Publication type:
- Article
Towards an ICT-Based Platform for Type 1 Diabetes Mellitus Management †.
- Published in:
- Applied Sciences (2076-3417), 2018, v. 8, n. 4, p. 511, doi. 10.3390/app8040511
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- Publication type:
- Article