Decision Support in Diabetes Care: The Challenge of Supporting Patients in Their Daily Living Using a Mobile Glucose Predictor.

Journal: Journal of diabetes science and technology
Published Date: Mar 1, 2018

Abstract

BACKGROUND: In type 1 diabetes mellitus (T1DM), patients play an active role in their own care and need to have the knowledge to adapt decisions to their daily living conditions. Artificial intelligence applications can help people with type 1 diabetes in decision making and allow them to react at time scales shorter than the scheduled face-to-face visits. This work presents a decision support system (DSS), based on glucose prediction, to assist patients in a mobile environment.

Authors

  • Carmen Pérez-Gandía
    1 CIBER-BBN: Networking Research Centre for Bioengineering, Biomaterials and Nanomedicine, Madrid, Spain.
  • Gema García-Sáez
    2 Bioengineering and Telemedicine Centre, Universidad Politécnica de Madrid, Spain.
  • David Subías
    3 Endocrinology and Nutrition Department, Parc Tauli Sabadell University Hospital, Sabadell, Spain.
  • Agustín Rodríguez-Herrero
    1 CIBER-BBN: Networking Research Centre for Bioengineering, Biomaterials and Nanomedicine, Madrid, Spain.
  • Enrique J Gómez
    1 CIBER-BBN: Networking Research Centre for Bioengineering, Biomaterials and Nanomedicine, Madrid, Spain.
  • Mercedes Rigla
    1 Endocrinology and Nutrition Department, Parc Tauli University Hospital, Sabadell, Spain.
  • M Elena Hernando
    1 CIBER-BBN: Networking Research Centre for Bioengineering, Biomaterials and Nanomedicine, Madrid, Spain.

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