Browsing Registrations from Cristin by Author "Rabbi, Fazle"

Now showing items 1-11 of 11

    • 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; 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 ...

    • Evaluating the Effectiveness of GPT Large Language Model for News Classification in the IPTC News Ontology 

      Fatemi, Bahareh; Rabbi, Fazle; Opdahl, Andreas Lothe (Peer reviewed; Journal article, 2023)
      News classification plays a vital role in newsrooms, as it involves the time-consuming task of categorizing news articles and requires domain knowledge. Effective news classification is essential for categorizing and ...

    • 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 Model Based Slicing Technique for Process Mining Healthcare Information 

      Rabbi, Fazle; Lamo, Yngve; MacCaull, Wendy (Chapter, 2020)
      Process mining is a powerful technique which uses an organization’s event data to extract and analyse process flow information and develop useful process models. However, it is difficult to apply process mining techniques ...

    • A model based slicing technique for process mining healthcare information 

      Rabbi, Fazle; Lamo, Yngve; MacCaull, Wendy (Journal article; Peer reviewed, 2020)
      Process mining is a powerful technique which uses an organization’s event data to extract and analyse process flow information and develop useful process models. However, it is difficult to apply process mining techniques ...

    • Model-Driven Automatic Question Generation for a Gamified Clinical Guideline Training System 

      Nyameino, Job Nyangena; Ebbesvik, Ben-Richard Sletten; Rabbi, Fazle; Were, Martin C.; Lamo, Yngve (Journal article; Peer reviewed, 2020)
      Clinical practice guidelines (CPGs) are a cornerstone of modern medical practice since they summarize the vast medical literature and provide care recommendations based on the current best evidence. However, there are ...

    • A Reference Architecture for Data-Driven and Adaptive Internet-Delivered Psychological Treatment Systems: Software Architecture Development and Validation Study 

      Mukhiya, Suresh Kumar; Lamo, Yngve; Rabbi, Fazle (Journal article; Peer reviewed, 2022)
      Background: Internet-delivered psychological treatment (IDPT) systems are software applications that offer psychological treatments via the internet. Such IDPT systems have become one of the most commonly practiced and ...

    • Reusable data visualization patterns for clinical practice 

      Rabbi, Fazle; Wake, Jo Dugstad; Nordgreen, Tine (Chapter, 2020)
      Among clinical psychologists involved in guided internet-facilitated interventions, there is an overarching need to understand patients symptom development and learn about patients need for treatment support. Data ...

    • 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 ...

    • Towards an automated journalism framework for social data monitoring 

      Fatemi, Bahareh; Rosnes, Daniel; Tessem, Bjørnar; Rabbi, Fazle (Conference poster, 2022)
      News and information dissemination have long been a vital human practice. Concurrent with the traditional media channels such as radio and television, online social networks (OSNs), are regarded as the new generation of ...

    • User-centred design of clinical dashboards for guided iCBT 

      Wake, Jo Dugstad; Rabbi, Fazle; Inal, Yavuz; Nordgreen, Tine (Journal article; Peer reviewed, 2022)
      As Internet-based technology spreads to most areas of life, it becomes a challenge to grasp opportunities arising from enormous amounts of data being generated from various sources such as smart homes, smart cities, health ...