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  3. Øystein Nytrø
Bilde av Nytrø, Øystein
Bilde av Nytrø, Øystein
Professor Department of Computer Science oystein.nytro@uit.no +47 91897606

Øystein Nytrø

  • Rajeev Bopche, Lise Tuset Gustad, Jan Egil Afset, Anna Greta Birgitta Ehrnström, Jan Kristian Damås, Øystein Nytrø :
    Inhospital Mortality, Readmission, and Prolonged Length of Stay Risk Prediction Leveraging Historical Electronic Health Records
    medRxiv 2024 DOI
  • Øystein Nytrø, Lise Tuset Gustad, Jan Egil Afset, Jan Kristian Damås, Anna Greta Birgitta Ehrnström :
    Advancing Bloodstream Infection Prediction Using Explanable Artificial Intelligence Framework
    medRxiv 2024 DOI
  • Kaban Koochakpour, Øystein Nytrø, Bennett L. Leventhal, Odd Sverre Westbye, Thomas Brox Røst, Roman Alexandriovich Koposov et al.:
    A review of information sources and analysis methods for data driven decision aids in child and adolescent mental health services
    International Journal of Medical Informatics 2024 ARKIV / DOI
  • Roman Alexandriovich Koposov, Line Mærvoll Stien, Carolyn Elizabeth Clausen, Bennett Leventhal, Odd Sverre Westbye, Øystein Nytrø et al.:
    Patients and family attitudes about clinical and research sharing of electronic clinical data
    Nordic Journal of Psychiatry 2024 ARKIV / DOI
  • Kaban Koochakpour, Frida Sofie Solheim, Øystein Nytrø, Carolyn Elizabeth Clausen, Thomas Frodl, Roman Alexandriovich Koposov et al.:
    Challenges in Interpreting Norwegian Child and Adolescent Mental Health Records
    Studies in Health Technology and Informatics 2024 ARKIV / DOI
  • Rajeev Bopche, Lise Tuset Gustad, Jan Egil Afset, Jan Kristian Damås, Øystein Nytrø :
    Predicting In-Hospital Death from Derived EHR Trajectory Features
    IOS Press 2024 ARKIV / DOI
  • Rajeev Bopche, Øystein Nytrø, Lise Tuset Gustad, Jan Egil Afset, Jan Kristian Damås, Birgitta Ehrnström :
    Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records
    PLOS Digital Health 2024 ARKIV / DOI
  • Kaban Koochakpour, Dipendra Pant, Odd Sverre Westbye, Thomas Brox Røst, Bennett Leventhal, Roman Alexandriovich Koposov et al.:
    Ability of clinical data to predict readmission in Child and Adolescent Mental Health Services
    PeerJ Computer Science 2024 ARKIV / DOI
  • Rajeev Bopche, Lise Tuset Gustad, Jan Egil Afset, Birgitta Ehrnström, Jan Kristian Damås, Øystein Nytrø :
    In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records
    JAMIA Open 2024 ARKIV / DOI
  • Melissa Y. Yan, Lise Tuset Gustad, Lise Husby Høvik, Øystein Nytrø :
    Terminology and ontology development for semantic annotation: A use case on sepsis and adverse events
    Semantic Web Journal 2023 ARKIV / DOI
  • Melissa Y. Yan, Lise Tuset Gustad, Lise Husby Høvik, Øystein Nytrø :
    Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text
    Association for Computational Linguistics 2023 FULLTEKST / ARKIV / DOI
  • Carolyn Elizabeth Clausen, Bennett Leventhal, Øystein Nytrø, Roman A Koposov, Thomas Brox Røst, Odd Sverre Westbye et al.:
    Usability of the IDDEAS prototype in child and adolescent mental health services: A qualitative study for clinical decision support system development
    Frontiers in Psychiatry 2023 ARKIV / DOI
  • Kaban Koochakpour, Øystein Nytrø, Odd Sverre Westbye, Bennett Leventhal, Roman A Koposov, Victoria Bakken et al.:
    Success factors of an early EHR system for child and adolescent mental health: Lessons learned for future practice data-driven decision aids
    IOS Press 2022 ARKIV / DOI
  • Victoria Bakken, Roman A Koposov, Thomas Brox Røst, Carolyn Clausen, Øystein Nytrø, Bennett Leventhal et al.:
    Attitudes of Mental Health Service Users Toward Storage and Use of Electronic Health Records
    Psychiatric Services 2022 ARKIV / DOI
  • Thomas Brox Røst, Laura Slaughter, Øystein Nytrø, Ashley Elizabeth Muller, Gunn Elisabeth Vist :
    Using neural networks to support high-quality evidence mapping
    BMC Bioinformatics 2021 FULLTEKST / ARKIV / DOI
  • Melissa Yan, Lise Husby Høvik, Lise Tuset Gustad, Øystein Nytrø :
    Understanding and Reasoning About Early Signs of Sepsis: From Annotation Guideline to Ontology
    IEEE (Institute of Electrical and Electronics Engineers) 2021 FULLTEKST / DOI
  • Melissa Yan, Lise Tuset Gustad, Øystein Nytrø :
    Sepsis Prediction, Early Detection and Identification Using Clinical Text for Machine Learning: A Systematic Review
    JAMIA Journal of the American Medical Informatics Association 2021 ARKIV / DOI
  • Pål Haugar Brekke, Taraka Rama, Ildikó Pilán, Øystein Nytrø, Lilja Øvrelid :
    Synthetic data for annotation and extraction of family history information from clinical text
    Journal of Biomedical Semantics 2021 ARKIV / DOI
  • Melissa Yan, Lise Husby Høvik, André Pedersen, Lise Tuset Gustad, Øystein Nytrø :
    Preliminary Processing and Analysis of an Adverse Event Dataset for Detecting Sepsis-Related Events
    IEEE (Institute of Electrical and Electronics Engineers) 2021 ARKIV / DOI
  • Fredrik Andreas Dahl, Taraka Rama Kasicheyanula, Petter Hurlen, Pål Haugar Brekke, Haldor Husby, Tore Gundersen et al.:
    Neural classification of Norwegian radiology reports: using NLP to detect findings in CT-scans of children
    BMC Medical Informatics and Decision Making 2021 ARKIV / DOI
  • Harry Hochheiser, Xia Jing, Elizabeth A Garcia, Serkan Ayvaz, Ratnesh Sahay, Michel Dumontier et al.:
    A Minimal Information Model for Potential Drug-Drug Interactions
    Frontiers in Pharmacology 2021 ARKIV / DOI
  • Carolyn Clausen, Bennett Leventhal, Øystein Nytrø, Roman A Koposov, Odd Sverre Westbye, Thomas Brox Røst et al.:
    Clinical Decision Support Systems: An Innovative Approach to Enhancing Child and Adolescent Mental Health Services
    Journal of the American Academy of Child and Adolescent Psychiatry 2020 ARKIV / DOI
  • Ildikó Pilán, Pål Haugar Brekke, Fredrik Andreas Dahl, Tore Gundersen, Haldor Husby, Øystein Nytrø et al.:
    Classification of Syncope Cases in Norwegian Medical Records
    Association for Computational Linguistics 2020 FULLTEKST / DOI
  • Thomas Brox Røst, Carolyn Clausen, Øystein Nytrø, Roman A Koposov, Bennett Leventhal, Odd Sverre Westbye et al.:
    Local, Early, and Precise: Designing a Clinical Decision Support System for Child and Adolescent Mental Health Services
    Frontiers in Psychiatry 15. December 2020 ARKIV / DOI
  • Thomas Brox Røst, Christine Raaen Tvedt, Haldor Husby, Ingrid Andås Berg, Øystein Nytrø :
    Identifying catheter-related events through sentence classification
    International Journal of Data Mining and Bioinformatics 2020 ARKIV / DOI
  • Øystein Nytrø, Anh Nguyen Duc, Hallvard Trætteberg, Madeleine Lorås, Babak A. Farshchian :
    Unreined Students or Not: Modes of Freedom in a Project-Based Software Engineering Course
    Proceedings (Conference on Software Engineering Education and Training) 2020 ARKIV / DOI
  • Thomas Brox Røst, Christine Raaen Tvedt, Haldor Husby, Ingrid Andås Berg, Øystein Nytrø :
    Capturing Central Venous Catheterization Events in Health Record Texts
    IEEE (Institute of Electrical and Electronics Engineers) 2018 ARKIV / DOI
  • Taraka Rama Kasicheyanula, Pål Haugar Brekke, Øystein Nytrø, Lilja Øvrelid :
    Iterative development of family history annotation guidelines using a synthetic corpus of clinical text
    Association for Computational Linguistics 2018 FULLTEKST / DATA / DOI
  • Roman A Koposov, Thomas Frodl, Øystein Nytrø, Bennett Leventhal, Andre Sourander, Silvana Quaglini et al.:
    Clinical Decision Support Systems for Child Neuropsychiatric Disorders: The Time Has Come?
    Annals of Cognitive Science 10. April 2017 ARKIV / FULLTEKST / DOI
  • Tesfay Teame, Tor Stålhane, Øystein Nytrø :
    Electronic Health Record improvement using incident reports
    Studies in Health Technology and Informatics 2017 ARKIV / FULLTEKST / DOI
  • Soudabeh Khodambashi, Øystein Nytrø :
    A systematic literature review on evaluation of digital tools for authoring evidence-based clinical guidelines
    Studies in Health Technology and Informatics 2017 DOI
  • Soudabeh Khodambashi, Øystein Nytrø :
    Usability methods and techniques for published clinical guidelines on the web: a systematic literature review
    Communications in Computer and Information Science (CCIS) 2017 DOI
  • Soudabeh Khodambashi, Øystein Nytrø :
    Reviewing clinical guideline development tools: Features and characteristics
    BMC Medical Informatics and Decision Making 2017 ARKIV / DOI
  • Roman A Koposov, Sturla Fossum, Thomas Frodl, Øystein Nytrø, Bennett Leventhal, Andre Sourander et al.:
    Clinical decision support systems in child and adolescent psychiatry: a systematic review
    European Child and Adolescent Psychiatry 2017 DOI
  • Soudabeh Khodambashi, Dagrun Haugland, Anette Ellingsberg, Hanne Kottum, Janne Kutschera Sund, Øystein Nytrø :
    An experimental comparison of a co-design visualizing personal drug information and patient information leaflets: Usability aspects
    Studies in Health Technology and Informatics 2017 DOI
  • Melissa Y. Yan, Øystein Nytrø :
    Capturing Signs and Events Related to Catheters in Clinical Text
    2023
  • Thomas Brox Røst, Øystein Nytrø :
    Enabling Data-Driven Decision-Support in Healthcare
    Norges teknisk-naturvitenskapelige universitet 2023
  • Øystein Nytrø, Melissa Yuting Yan, Dipendra Pant :
    Helsedataanalyse og datadrevet beslutningsstøtte med anvendelser for sepsisforebygging og BUPH
    2022
  • Øystein Nytrø, Roman A Koposov, Odd Sverre Westbye, Carolyn Clausen, Bennett Leventhal, Thomas Brox Røst et al.:
    Et bedre BUP med datadrevet kunnskapsstøtte?
    Dagens medisin 2021
  • Victoria Bakken, Roman A Koposov, Thomas Brox Røst, Carolyn Clausen, Øystein Nytrø, Bennett Leventhal et al.:
    Hidden in Plain Sight: Users of Mental Health Services Want to Participate in Research
    Journal of the American Academy of Child and Adolescent Psychiatry 2021 SAMMENDRAG / DOI
  • Victoria Bakken, Roman A Koposov, Thomas Brox Røst, Carolyn Clausen, Øystein Nytrø, Bennett Leventhal et al.:
    Hidden in Plain Sight: Users of Mental Health Services Want to Participate in Research
    2021
  • Carolyn Clausen, Roman A Koposov, Odd Sverre Westbye, Norbert Skokauskas, Øystein Nytrø, Kaban Koochakpour et al.:
    Individualized Digital DEcision Assist System Supporting Decision-Making in Real-Time
    2020
  • Norbert Skokauskas, Øystein Nytrø, Roman A Koposov, Odd Sverre Westbye, Bennett Leventhal, Carolyn Clausen et al.:
    Individualized Digital DEcision Assist System Supporting Decision-Making in Real-Time
    2020
  • Carolyn Clausen, Bennett Leventhal, Øystein Nytrø, Roman A Koposov, Odd Sverre Westbye, Thomas Brox Røst et al.:
    Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents
    BMC Medical Informatics and Decision Making 2020 ARKIV / DOI
  • Øystein Nytrø, Elizabeth A Garcia :
    A Minimum Representation of Potential Drug-Drug Interaction Knowledge and Evidence - Technical and User-centered Foundation
    2019 FULLTEKST
  • Stein Olav Skrøvseth, Øystein Nytrø, Thomas Smedsrud :
    Ja til sekundærbruk av helsedata
    Dagens medisin 2019 FULLTEKST
  • Fredrik Andreas Dahl, Taraka Rama Kasicheyanula, Petter Hurlen, Pål Haugar Brekke, Haldor Husby, Tore Gundersen et al.:
    Classifying Norwegian radiology reports with deep learning
    2019
  • Soudabeh Khodambashi, Øystein Nytrø :
    A Systematic Literature Review on Evaluation of Digital Tools for Authoring Evidence-based Clinical Guidelines
    2017
  • Soudabeh Khodambashi, Dagrun Haugland, Anette Ellingsberg, Hanne Kottuma, Janne Kutschera Sund, Øystein Nytrø :
    An Experimental Comparison of a Co-Design Visualizing Personal Drug Information and Patient Information Leaflets: Usability Aspects
    2017
  • Soudabeh Khodambashi, Øystein Nytrø :
    Usability methods and techniques for published clinical guidelines on the web: a systematic literature review
    2017

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    Research interests

    Health informatics, Decision support, Health trajectory analysis, Machine learning, Software Engineering

    Researcher profile in Cristin
    ORCID: https://orcid.org/0000-0002-8163-2362

    Member of research group

    Health Informatics and -Technology (HIT)   English content