Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.

Journal: Computer methods and programs in biomedicine
PMID:

Abstract

BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic control and may benefit from advanced tools to predict blood glucose (BG) concentration levels and hypo/hyperglycemia events. Prediction systems using machine learning techniques have mainly focused on applications for sensor augmented pump (SAP) therapy. In contrast, insulin bolus calculators that rely on BG prediction for multiple daily insulin (MDI) injections for patients under self-monitoring blood glucose (SMBG) are scarce because of insufficient data sources and limited prediction capability of forecasting models.

Authors

  • Silvia Oviedo
    Institut d'Informatica i Aplicacions. Universitat de Girona, Spain. Electronic address: silvia.oviedo@udg.edu.
  • Ivan Contreras
    Modeling, Identification and Control Laboratory, Institut d'Informatica i Aplicacions, Universitat de Girona, Girona, Spain.
  • Arthur Bertachi
    Institut d'Informatica i Aplicacions. Universitat de Girona, Spain; Federal University of Technology Paraná (UTFPR), Guarapuava 85053-525, Brazil. Electronic address: arthur.bertachi@udg.edu.
  • Carmen Quirós
    Servicio de Endocrinología y Nutrición. Hospital Universitari Mutua de Terrassa, Terrassa, Spain. Electronic address: cmquiros@clinic.cat.
  • Marga Giménez
    3 Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine Imperial College, London, UK.
  • Ignacio Conget
    Diabetes Unit. Endocrinology and Nutrition Dpt. IDIBAPS (Institut d'investigacions biomdiques August Pi I Sunyer), Barcelona, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Spain. Electronic address: iconget@clinic.cat.
  • Josep Vehi
    Modeling, Identification and Control Laboratory, Institut d'Informatica i Aplicacions, Universitat de Girona, Girona, Spain.