• Model-driven diabetes care: study protocol for a randomized controlled trial 

      Skrøvseth, Stein Olav; Årsand, Eirik; Godtliebsen, Fred; Joakimsen, Ragnar Martin (Journal article; Tidsskriftartikkel; Peer reviewed, 2013)
      Background: People with type 1 diabetes who use electronic self-help tools register a large amount of information about their disease on their participating devices; however, this information is rarely utilized beyond the immediate investigation. We have developed a diabetes diary for mobile phones and a statistics-based feedback module, which we have named Diastat, to give data-driven feedback ...
    • Reinforcement learning application in diabetes blood glucose control: A systematic review 

      Tejedor Hernandez, Miguel Angel; Woldaregay, Ashenafi Zebene; Godtliebsen, Fred (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-02-21)
      <p>Background: Reinforcement learning (RL) is a computational approach to understanding and automating goal-directed learning and decision-making. It is designed for problems which include a learning agent interacting with its environment to achieve a goal. For example, blood glucose (BG) control in diabetes mellitus (DM), where the learning agent and its environment are the controller and the body ...