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
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
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
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
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
Rajeev Bopche,
Lise Tuset Gustad,
Jan Egil Afset,
Jan Kristian Damås,
Øystein Nytrø
:
Predicting In-Hospital Death from Derived EHR Trajectory Features
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
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
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
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
Melissa Y. Yan,
Lise Tuset Gustad,
Lise Husby Høvik,
Øystein Nytrø
:
Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text
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
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
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
Thomas Brox Røst,
Laura Slaughter,
Øystein Nytrø,
Ashley Elizabeth Muller,
Gunn Elisabeth Vist
:
Using neural networks to support high-quality evidence mapping
Melissa Yan,
Lise Husby Høvik,
Lise Tuset Gustad,
Øystein Nytrø
:
Understanding and Reasoning About Early Signs of Sepsis: From Annotation Guideline to Ontology
Melissa Yan,
Lise Tuset Gustad,
Øystein Nytrø
:
Sepsis Prediction, Early Detection and Identification Using Clinical Text for Machine Learning: A Systematic Review
Pål Haugar Brekke,
Taraka Rama,
Ildikó Pilán,
Øystein Nytrø,
Lilja Øvrelid
:
Synthetic data for annotation and extraction of family history information from clinical text
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
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
Harry Hochheiser,
Xia Jing,
Elizabeth A Garcia,
Serkan Ayvaz,
Ratnesh Sahay,
Michel Dumontier
et al.:
A Minimal Information Model for Potential Drug-Drug Interactions
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
Ildikó Pilán,
Pål Haugar Brekke,
Fredrik Andreas Dahl,
Tore Gundersen,
Haldor Husby,
Øystein Nytrø
et al.:
Classification of Syncope Cases in Norwegian Medical Records
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
Thomas Brox Røst,
Christine Raaen Tvedt,
Haldor Husby,
Ingrid Andås Berg,
Øystein Nytrø
:
Identifying catheter-related events through sentence classification
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
Thomas Brox Røst,
Christine Raaen Tvedt,
Haldor Husby,
Ingrid Andås Berg,
Øystein Nytrø
:
Capturing Central Venous Catheterization Events in Health Record Texts
Taraka Rama Kasicheyanula,
Pål Haugar Brekke,
Øystein Nytrø,
Lilja Øvrelid
:
Iterative development of family history annotation guidelines using a
synthetic corpus of clinical text
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?
Tesfay Teame,
Tor Stålhane,
Øystein Nytrø
:
Electronic Health Record improvement using incident reports
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
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
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
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
The 50 latest publications is shown on this page. See all publications in Cristin here →
Research interests
Health informatics, Decision support, Health trajectory analysis, Machine learning, Software Engineering
