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This paper is in the following e-collection/theme issue:

Applications of AI (1020) Decision Support for Health Professionals (2286) Machine Learning (3272) Innovations and Technology for Healthy Eating Education (559) Artificial Intelligence in Diabetes Care and Prevention (114)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/105049, first published .
Woman with CGM on arm checks glucose reading of 112 on phone before meal

Interpretable Multihorizon Glucose Forecasting for Assessing Nutritional Information Impact in Type 1 Diabetes Management: Model Development and Validation Study

Interpretable Multihorizon Glucose Forecasting for Assessing Nutritional Information Impact in Type 1 Diabetes Management: Model Development and Validation Study

Authors of this article:

Carlos Gallardo-García1, 2 Author Orcid Image ;   M Elena Hernando1, 2, 3 Author Orcid Image ;   David Subías4 Author Orcid Image ;   Mercedes Rigla4, 5 Author Orcid Image ;   Gema García-Sáez1, 2, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Carlos Gallardo-García   1, 2 ;   M Elena Hernando   1, 2, 3 ;   David Subías   4 ;   Mercedes Rigla   4, 5 ;   Gema García-Sáez   1, 2, 3

1 Bioengineering and Telemedicine Group, Centro de Tecnología Biomédica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain

2 Instituto de Investigación Hospital 12 de Octubre (imas12), Research Institute Hospital 12 de Octubre, Madrid, Madrid, Spain

3 Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine, Madrid, Spain

4 Endocrinology and Nutrition Department, Parc Tauli Sabadell University Hospital, Institute of Research and Innovation Parc Tauli, Sabadell, Catalonia, Spain

5 Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain

Corresponding Author:

  • Gema García-Sáez
  • Bioengineering and Telemedicine Group, Centro de Tecnología Biomédica
  • ETSI de Telecomunicación, Universidad Politécnica de Madrid
  • Avda Complutense 40
  • Madrid 28040
  • Spain
  • Phone: 34 910672474
  • Email: gema.garcia.saez@upm.es