• Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data 

      Aminifar, Amin; Matin, Shokri; Rabbi, Fazle; Pun, Violet Ka I; Lamo, Yngve (Journal article; Peer reviewed, 2022)
      Artificial intelligence and machine learning have recently attracted considerable attention in the healthcare domain. The data used by machine learning algorithms in healthcare applications is often distributed over multiple ...
    • A Practical Methodology for Anonymization of Structured Health Data 

      Aminifar, Amin; Lamo, Yngve; Pun, Ka I; Rabbi, Fazle (Peer reviewed; Journal article, 2019)
      Hospitals, as data custodians, have the need to share a version of the data in hand with external research institutes for analysis purposes. For preserving the privacy of the patients, anonymization methods are employed ...
    • Towards Adaptive Technology in Routine Mental Healthcare 

      Lamo, Yngve; Mukhiya, Suresh Kumar; Rabbi, Fazle; Aminifar, Amin; Lillehaug, Svein Ivar; Tørresen, Jim; Pham, Minh H.; Côté-Allard, Ulysse Teller Masao; Noori, Farzan Majeed; Guribye, Frode; Inal, Yavuz; Flobak, Eivind; Wake, Jo Dugstad; Myklebost, Sunniva Brurok; Lundervold, Astri J.; Hammar, Åsa Karin; Nordby, Emilie Sektnan; Kahlon, Smiti; Kenter, Robin Maria Francisca; Sekse, Ragnhild Johanne Tveit; Griffin, Kristine Fonnes; Jakobsen, Petter; Ødegaard, Ketil Joachim; Skar, Yngvar Sigmund; Nordgreen, Tine (Journal article; Peer reviewed, 2022)
      This paper summarizes the information technology-related research findings after 5 years with the INTROducing Mental health through Adaptive Technology project. The aim was to improve mental healthcare by introducing new ...