1. Unit startpage
  2. Employees
  3. Phuong Dinh Ngo
Bilde av Ngo, Phuong Dinh
Bilde av Ngo, Phuong Dinh
Adjunct Associate Professor / Machine Learning Department of Physics and Technology phuong.ngo@uit.no

Phuong Dinh Ngo

  • Phuong Dinh Ngo, Miguel Angel Tejedor Hernandez, Therese Olsen Svenning, Taridzo Fred Chomutare, Andrius Budrionis, Hercules Dalianis :
    Deidentifying a Norwegian clinical corpus - An effort to create a privacy-preserving Norwegian large clinical language model
    Proceedings of the Workshop on Computational Approaches to Language Data Pseudonymization (CALD-pseudo 2024) 2024 ARKIV
  • Monika Knudsen Gullslett, Elettra Ronchi, Lene Lundberg, Dillys Larbi, Karianne Fredenfeldt Lind, Maryam Tayefi Nasrabadi et al.:
    Telehealth development in the WHO European region: Results from a quantitative survey and insights from Norway
    International Journal of Medical Informatics 2024 DOI
  • Luis Marco Ruiz, Miguel Angel Tejedor Hernandez, Phuong Dinh Ngo, Alexandra Makhlysheva, Therese Olsen Svenning, Kari Dyb et al.:
    A multinational study on artificial intelligence adoption: Clinical implementers' perspectives
    International Journal of Medical Informatics 2024 DOI
  • Taridzo Fred Chomutare, Anastasios Lamproudis, Andrius Budrionis, Therese Olsen Svenning, Lill Irene Hind, Phuong Dinh Ngo et al.:
    Improving Quality of ICD-10 (International Statistical Classification of Diseases, Tenth Revision) Coding Using AI: Protocol for a Crossover Randomized Controlled Trial
    JMIR Research Protocols 2024 ARKIV / DOI
  • Marit Dagny Kristine Jenssen, Elisa Salvi, Egil Andreas Fors, Ole Andreas Nilsen, Phuong Dinh Ngo, Miguel Angel Tejedor Hernandez et al.:
    Exploring Pain Reduction through Physical Activity: A Case Study of Seven Fibromyalgia Patients
    Bioengineering 2024 ARKIV / DOI
  • Anastasios Lamproudis, Sara Mora, Therese Olsen Svenning, Torbjørn Torsvik, Taridzo Fred Chomutare, Phuong Dinh Ngo et al.:
    De-identifying Norwegian Clinical Text using Resources from Swedish and Danish
    AMIA Annual Symposium Proceedings 2023 ARKIV / FULLTEKST
  • Anastasios Lamproudis, Therese Olsen Svenning, Torbjørn Torsvik, Taridzo Fred Chomutare, Andrius Budrionis, Phuong Dinh Ngo et al.:
    Using a large open clinical corpus for improved ICD-10 diagnosis coding
    AMIA Annual Symposium Proceedings 2023 ARKIV / FULLTEKST
  • Phuong Ngo, Miguel Angel Tejedor Hernandez, Fred Godtliebsen :
    Data-Driven Robust Control Using Reinforcement Learning
    Applied Sciences 2022 FULLTEKST / ARKIV / DOI
  • Taridzo Fred Chomutare, Miguel Angel Tejedor Hernandez, Therese Olsen Svenning, Luis Marco Ruiz, Maryam Tayefi Nasrabadi, Karianne Fredenfeldt Lind et al.:
    Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators
    International Journal of Environmental Research and Public Health (IJERPH) 2022 ARKIV / DOI
  • Maryam Tayefi, Phuong Ngo, Taridzo Chomutare, Hercules Dalianis, Elisa Salvi, Andrius Budrionis et al.:
    Challenges and opportunities beyond structured data in analysis of electronic health records
    Wiley Interdisciplinary Reviews: Computational Statistics 14. February 2021 ARKIV / DOI
  • Leila Ismail, Huned Materwala, Maryam Tayefi, Phuong Ngo, Achim P. Karduck :
    Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation
    Archives of Computational Methods in Engineering 2021 DOI
  • Marit Dagny Kristine Jenssen, Per Atle Bakkevoll, Phuong Ngo, Andrius Budrionis, Asbjørn Johansen Fagerlund, Maryam Tayefi et al.:
    Machine Learning in Chronic Pain Research: A Scoping Review
    Applied Sciences 2021 ARKIV / DOI
  • Phuong Ngo, Miguel Angel Tejedor Hernandez, Maryam Tayefi, Taridzo Chomutare, Fred Godtliebsen :
    Risk-Averse Food Recommendation Using Bayesian Feedforward Neural Networks for Patients with Type 1 Diabetes Doing Physical Activities
    Applied Sciences 2020 ARKIV / DOI
  • Phuong Ngo, Maryam Tayefi, Anne Torill Nordsletta, Fred Godtliebsen :
    Food recommendation using machine learning for physical activities in patients with type 1 diabetes
    Linköping Electronic Conference Proceedings 2019 ARKIV / FULLTEKST
  • Phuong Ngo, Susan Wei, Anna Holubova, Jan Muzik, Fred Godtliebsen :
    Reinforcement-Learning Optimal Control for Type-1 Diabetes
    IEEE (Institute of Electrical and Electronics Engineers) 2018 DOI
  • Phuong Ngo, Susan Wei, Anna Holubova, Jan Muzik, Fred Godtliebsen :
    Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm
    Computational & Mathematical Methods in Medicine 30. December 2018 FULLTEKST / ARKIV / DOI
  • Alexandra Makhlysheva, Luis Marco Ruiz, Therese Olsen Svenning, Phuong Ngo, Miguel Angel Tejedor Hernandez, Anne Torill Nordsletta et al.:
    Implementering av kunstig intelligens i norsk helsetjeneste: veien til utbredt bruk
    2023 FULLTEKST
  • Anastasios Lamproudis, Therese Olsen Svenning, Torbjørn Torsvik, Taridzo Fred Chomutare, Andrius Budrionis, Phuong Dinh Ngo et al.:
    Using a large open clinical corpus for improved ICD-10 diagnosis coding
    2023
  • Sara Mora, Torbjørn Torsvik, Therese Olsen Svenning, Anastasios Lamproudis, Phuong Dinh Ngo, Taridzo Fred Chomutare et al.:
    De-identifying Norwegian clinical text using resources from Swedish and Danish
    2023
  • Phuong Ngo :
    IMPACT: Identification of multimorbid patients with impactable risk profiles using machine learning
    2022
  • Alexandra Makhlysheva, Luis Marco Ruiz, Therese Olsen Svenning, Phuong Ngo, Miguel Angel Tejedor Hernandez, Maryam Tayefi Nasrabadi et al.:
    Implementation of artificial intelligence in Norwegian healthcare: The road to broad adoption
    2022 FULLTEKST
  • Leila Ismail, Huned Materwala, Maryam Tayefi, Phuong Ngo, Achim P. Karduck :
    Correction to: Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation (Archives of Computational Methods in Engineering, (2021), 10.1007/s11831-021-09582-x)
    Archives of Computational Methods in Engineering 2021 DOI
  • Phuong Ngo, Oddny Johnsen :
    Kunstig intelligens kan hjelpe diabetespasienter å trene trygt
    19. May 2021 FULLTEKST
  • Phuong Ngo, Eirik Årsand, Fred Godtliebsen :
    Toward A Personalized Decision Support System for Blood Glucose Management During and After Physical Activities in Patients with Type 1 Diabetes
    Diabetes Technology & Therapeutics 2020 FULLTEKST
  • Alexandra Makhlysheva, Phuong Ngo, Maryam Tayefi, Torbjørn Torsvik, Taridzo Chomutare :
    Utforsking av elektronisk fenotyping for klinisk praksis
    2020 FULLTEKST
  • Alexandra Makhlysheva, Maryam Tayefi, Phuong Ngo, Taridzo Chomutare, Torbjørn Torsvik :
    Exploring electronic phenotyping for clinical practice in Norwegian settings
    2020 FULLTEKST
  • Phuong D. Ngo, Fred Godtliebsen :
    Data-Driven Robust Control Using Reinforcement Learning
    2018
  • Phuong D. Ngo, Miguel Angel Tejedor Hernandez, Fred Godtliebsen :
    A Decision Support Tool for Optimal Control of Planet Temperature Using Reinforcement Learning
    2018
  • Phuong Ngo, Susan Wei, Anna Holubova, Jan Muzik, Fred Godtliebsen :
    Reinforcement-Learning Optimal Control for Type-1 Diabetes
    2018 FULLTEKST
  • Phuong Ngo, Jonas Nordhaug Myhre, Fred Godtliebsen :
    Reinforcement Learning Algorithm for Patients with Type-1 Diabetes
    2017

    • The 50 latest publications is shown on this page. See all publications in Cristin here →

    Member of research group

    Machine Learning   Norsk innhold