Phuong Dinh Ngo
Førsteamanuensis II / Maskinlærng
Luis Marco Ruiz,
Miguel Angel Tejedor Hernandez,
Phuong Dinh Ngo,
Alexandra Makhlysheva,
Therese Olsen Svenning,
Kari Dyb
m.fl.:
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
m.fl.:
Improving Quality of ICD-10 (International Statistical Classification of Diseases, Tenth Revision) Coding Using AI: Protocol for a Crossover Randomized Controlled Trial
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
Anastasios Lamproudis,
Therese Olsen Svenning,
Torbjørn Torsvik,
Taridzo Fred Chomutare,
Andrius Budrionis,
Phuong Dinh Ngo
m.fl.:
Using a large open clinical corpus for improved ICD-10 diagnosis coding
Anastasios Lamproudis,
Sara Mora,
Therese Olsen Svenning,
Torbjørn Torsvik,
Taridzo Fred Chomutare,
Phuong Dinh Ngo
m.fl.:
De-identifying Norwegian Clinical Text using Resources from Swedish and Danish
Taridzo Fred Chomutare,
Miguel Angel Tejedor Hernandez,
Therese Olsen Svenning,
Luis Marco Ruiz,
Maryam Tayefi Nasrabadi,
Karianne Fredenfeldt Lind
m.fl.:
Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators
Phuong Ngo,
Miguel Angel Tejedor Hernandez,
Fred Godtliebsen
:
Data-Driven Robust Control Using Reinforcement Learning
Marit Dagny Kristine Jenssen,
Per Atle Bakkevoll,
Phuong Ngo,
Andrius Budrionis,
Asbjørn Johansen Fagerlund,
Maryam Tayefi
m.fl.:
Machine Learning in Chronic Pain Research: A Scoping Review
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
Maryam Tayefi,
Phuong Ngo,
Taridzo Chomutare,
Hercules Dalianis,
Elisa Salvi,
Andrius Budrionis
m.fl.:
Challenges and opportunities beyond structured data in analysis of electronic health records
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
Phuong Ngo,
Maryam Tayefi,
Anne Torill Nordsletta,
Fred Godtliebsen
:
Food recommendation using machine learning for physical activities in patients with type 1 diabetes
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
Alexandra Makhlysheva,
Luis Marco Ruiz,
Therese Olsen Svenning,
Phuong Ngo,
Miguel Angel Tejedor Hernandez,
Anne Torill Nordsletta
m.fl.:
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
m.fl.:
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
m.fl.:
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
m.fl.:
Implementation of artificial intelligence in Norwegian healthcare: The road to broad adoption
2022 FULLTEKST
Phuong Ngo,
Oddny Johnsen
:
Kunstig intelligens kan hjelpe diabetespasienter å trene trygt
19. mai 2021 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
Alexandra Makhlysheva,
Maryam Tayefi,
Phuong Ngo,
Taridzo Chomutare,
Torbjørn Torsvik
:
Exploring electronic phenotyping for
clinical practice in Norwegian settings
2020 FULLTEKST
Alexandra Makhlysheva,
Phuong Ngo,
Maryam Tayefi,
Torbjørn Torsvik,
Taridzo Chomutare
:
Utforsking av elektronisk fenotyping for
klinisk praksis
2020 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
Phuong D. Ngo,
Fred Godtliebsen
:
Data-Driven Robust Control 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 D. Ngo,
Miguel Angel Tejedor Hernandez,
Fred Godtliebsen
:
A Decision Support Tool for Optimal Control of Planet Temperature Using Reinforcement Learning
2018
Phuong Ngo,
Jonas Nordhaug Myhre,
Fred Godtliebsen
:
Reinforcement Learning Algorithm for Patients with Type-1 Diabetes
2017
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