Sensor Technologies: Artificial Intelligence for Diabetes Management II
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (30 August 2022) | Viewed by 4142
Special Issue Editor
2. Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28001 Madrid, Spain
Interests: artificial pancreas; modelling and control in biomedicine; machine learning applications to biomedicine; robust control; fault tolerant control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is a rapidly growing field, and its applications for diabetes research are growing even faster. Due to their ability to efficiently process large amounts of data and find complex patterns, AI methods are attracting significant interest in the field of diabetes management, where electronic data acquired from people with diabetes have grown exponentially. The convergence of promising AI methods with the latest technological advances in medical devices, mobile computing and sensor technologies is expected to facilitate the creation and provision of better healthcare services for the management of chronic diseases such as diabetes. We are proud to announce a Special Issue entitled “Sensor Technologies: Artificial Intelligence for Diabetes Management”. This issue aims to present state-of-the-art research on the use of artificial intelligence techniques for decision support systems (DSS) in diabetes management, and also examples of what may await us in the near future in the intelligent management of diabetes.
Dr. Josep Vehí
Guest Editor
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Keywords
- diabetes management
- artificial intelligence
- clinical decision support
- machine learning
- diabetes technology
- wearables IoT
- ambient intelligence
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