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Special Issue "Sensor Technologies: Artificial Intelligence for Diabetes Management"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 31 March 2020.

Special Issue Editors

Dr. Josep Vehí
E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering. University of Girona. Campus Montilivi, edifici P4, 17003 Spain
Interests: artificial pancreas; modelling and control in biomedicine; machine learning applications to biomedicine; robust control; fault tolerant control
Dr. Razvan Bunescu
E-Mail Website
Guest Editor
Stocker 341, School of Electrical Engineering and Computer Science. Ohio University. Athens, OH, 45701. USA
Interests: machine learning; biomedical informatics; natural language processing; music analysis; computational creativity
Dr. Pau Herrero
E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, Imperial College London, London, UK, SW7 2AZ
Interests: diabetes technology; control engineering; machine learning; biomedical informatics; infectious diseases technology
Dr. Iván Contreras
E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering. University of GIrona. Campus Montilivi, edifici P4, 17003 Spain
Interests: artificial intelligence; machine learning; computer architectures; parallel programming; biomedicine applications

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
Dr. Razvan Bunescu
Dr. Pau Herrero
Dr. Iván Contreras
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • diabetes management
  • artificial intelligence
  • clinical decision support
  • machine learning
  • diabetes technology
  • wearables
  • IoT
  • ambient intelligence

Published Papers

This special issue is now open for submission.
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