Correction: A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management.

Abstract

Authors

• Muhammad Salman Haleem
  School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Manchester, M1 5GD, UK. m.haleem@mmu.ac.uk.
• Daphne Katsarou
  Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.
• Eleni I Georga
• George E Dafoulas
  Faculty of Medicine, University of Thessaly, Volos, Greece.
• Alexandra Bargiota
  University of Thessaly, Volos, Greece.
• Laura López-Pérez
  Universidad Politécnica de Madrid-Life Supporting Technologies Research Group, ETSIT, 28040 Madrid, Spain.
• Miguel Rujas
  Life Supporting Technologies Research Group, Universidad Politécnica de Madrid, Avda Complutense 30, 28040 Madrid, Spain. Electronic address: miguel.rujas.atahonero@upm.es.
• Giuseppe Fico
  Life Supporting Technologies, epartamento de Tecnología Fotónica y Bioingeniería, Universidad Politècnica de Madrid, Madrid, Spain.
• Leandro Pecchia
  School of Engineering, University of Warwick, Coventry, CV4 7AL, UK. L.Pecchia@warwick.ac.uk.
• Dimitrios Fotiadis
  FORTH-ICS, N Plastira 100, Heraklion, Crete, Greece.

Keywords

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