Phuong Dinh Ngo
Adjunct Associate Professor / Machine Learning
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
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
et al.:
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
et al.:
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
et al.:
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
et al.:
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
et al.:
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
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
Phuong Ngo,
Oddny Johnsen
:
Kunstig intelligens kan hjelpe diabetespasienter å trene trygt
19. May 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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