Browsing Institutt for informatikk by Author "Rabbi, Fazle"

Now showing items 1-7 of 7

  • A GraphQL approach to Healthcare Information Exchange with HL7 FHIR 
    Rabbi, Fazle; Rutle, Adrian; Lamo, Yngve; Pun, Ka I (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
    Interoperability is accepted as a fundamental necessity for the successful realization of Healthcare Information Systems. It can be achieved by utilizing consistent standards defining syntactic and semantic meaning of the ...
  • A Practical Methodology for Anonymization of Structured Health Data 
    Aminifar, Amin; Lamo, Yngve; Pun, Ka I; Rabbi, Fazle (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 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 ...
  • Challenges and possible solutions in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health 
    Nordgreen, Tine; Rabbi, Fazle; Tørresen, Jim; Skar, Yngvar Sigmund; Guribye, Frode; Inal, Yavuz; Flobak, Eivind; Wake, Jo Dugstad; Mukhiya, Suresh Kumar; Aminifar, Amin; Myklebost, Sunniva Brurok; Lundervold, Astri J.; Kenter, Robin Maria Francisca; Hammar, Åsa Karin; Kahlon, Smiti; Nordby, Emilie; Sekse, Ragnhild Johanne Tveit; Griffin, Kristine Fonnes; Jakobsen, Petter; Pham, Hoang Minh; Côté-Allard, Ulysse Teller Masao; Noori, Farzan Majeed; Lamo, Yngve (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Purpose Mental illness presents a huge individual, societal and economic challenges, currently accounting for 20% of the worldwide burden of disease. There is a gap between the need for and access to services. Digital ...
  • 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 / Tidsskriftartikkel / PublishedVersion; 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 ...
  • An MDE Approach for Modelling and Reasoning about Multi-agent Systems 
    Rabbi, Fazle; Lamo, Yngve; Kristensen, Lars Michael (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2017)
    Epistemic logic plays an important role in artificial intelligence for reasoning about multi-agent systems. Current approaches for modelling multi-agent systems with epistemic logic use Kripke semantics where the knowledge ...
  • Optimizing Distributed Resource Allocation using Epistemic Game Theory: A Model-driven Engineering Approach 
    Rabbi, Fazle; Kristensen, Lars Michael; Lamo, Yngve (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
    Abstract: Distributed systems modelling often involves a set of heterogeneous models where each model specifies a set of local constraints capturing a specific view of the system. In real life, distributed systems are often ...
  • 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 / Tidsskriftartikkel / PublishedVersion; 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 ...