• Advancing Unsupervised and Weakly Supervised Learning with Emphasis on Data-Driven Healthcare 

      Mikalsen, Karl Øyvind (Doctoral thesis; Doktorgradsavhandling, 2019-02-15)
      In healthcare, vast amounts of data are stored digitally in the electronic health records (EHRs). EHRs represent a largely untapped source of clinically relevant information, which combined with advances in machine learning, have the potential to transform healthcare into a more data-driven direction. However, due to the complexity and poor quality of the EHRs, data-driven healthcare is facing many ...