Now showing items 1-2 of 2

    • Deidentifying a Norwegian clinical corpus - An effort to create a privacy-preserving Norwegian large clinical language model 

      Ngo, Phuong Dinh; Tejedor Hernandez, Miguel Angel; Olsen Svenning, Therese; Chomutare, Taridzo Fred; Budrionis, Andrius; Dalianis, Hercules (Journal article; Tidsskriftartikkel; Peer reviewed, 2024)
      This study discusses the methods and challenges of deidentifying and pseudonymizing Norwegian clinical text for research purposes. The results of the NorDeid tool for deidentification and pseudonymization on different types of protected health information were evaluated and discussed, as well as the extension of its functionality with regular expressions to identify specific types of sensitive ...
    • 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 ...