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Phuong Dinh Ngo

Bio

Phuong D. Ngo received his Ph.D. degree from Purdue University, USA, in intelligent control. He is a senior researcher in health analytics at the Norwegian Centre for E-health Research. His research areas focus on robust and safe artificial intelligence using machine learning and control theories. Specifically, the research aims to create intelligent controllers and decision support systems that can be used for health care applications, for example, artificial pancreas for patients with type-1 diabetes and a clinical decision support system for patients with multimorbidity.

Phuong Dinh's projects
Project title Year Theme Project management
PACT I and II 2015 - 2021 Patient pathways
Gro Berntsen
Exploring electronic phenotyping for clinical practice in Norway 2019 - 2020 Health data
Alexandra Makhlysheva
Knowledge summary: AI Implementation in Healthcare 2021 - 2022 Health data
Maryam Tayefi Nasrabadi
WARIFA: Watching the risk factors: Artificial intelligence and the personalized prevention and management of chronic conditions 2021 - 2024 Citizen services
Health data
Conceição Granja Thomas Roger Schopf
ClinCode - Computer-Assisted Clinical ICD-10 Coding for improving efficiency and quality in healthcare 2021 - 2024 Health data
Hercules Dalianis
Identification of multimorbid patients with impactable risk profiles using artificial intelligence, the IM-PACT method 2021 - 2023 Pasientforløp
Helsedata
Gro Berntsen Maryam Tayefi Nasrabadi
SMART: Sensor data and machine learning to aid hormone replacement of the thyroid 2024 - 2026 Health data
Services for health professionals
Miguel Angel Tejedor Hernandez
Phuong Dinh's publications in Cristin
Title Year Category
Deidentifying a Norwegian clinical corpus - An effort to create a privacy-preserving Norwegian large clinical language model 2024 Academic article
Improving Quality of ICD-10 (International Statistical Classification of Diseases, Tenth Revision) Coding Using AI: Protocol for a Crossover Randomized Controlled Trial 2024 Academic article
A multinational study on artificial intelligence adoption: Clinical implementers' perspectives 2024 Academic article
De-identifying Norwegian Clinical Text using Resources from Swedish and Danish 2023 Academic article
De-identifying Norwegian clinical text using resources from Swedish and Danish 2023 Academic lecture
Using a large open clinical corpus for improved ICD-10 diagnosis coding 2023 Academic article
Using a large open clinical corpus for improved ICD-10 diagnosis coding 2023 Academic lecture
Implementering av kunstig intelligens i norsk helsetjeneste: veien til utbredt bruk 2023 Report
Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators 2022 Academic literature review
Implementation of artificial intelligence in Norwegian healthcare: The road to broad adoption 2022 Report
IMPACT: Identification of multimorbid patients with impactable risk profiles using machine learning 2022 Academic lecture
Data-Driven Robust Control Using Reinforcement Learning 2022 Academic article
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) 2021 Errata
Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation 2021 Academic article
Kunstig intelligens kan hjelpe diabetespasienter å trene trygt 2021 Interview
Machine Learning in Chronic Pain Research: A Scoping Review 2021 Academic literature review
Challenges and opportunities beyond structured data in analysis of electronic health records 2021 Academic literature review
Utforsking av elektronisk fenotyping for klinisk praksis 2020 Report
Exploring electronic phenotyping for clinical practice in Norwegian settings 2020 Report
Risk-Averse Food Recommendation Using Bayesian Feedforward Neural Networks for Patients with Type 1 Diabetes Doing Physical Activities 2020 Academic article
Toward A Personalized Decision Support System for Blood Glucose Management During and After Physical Activities in Patients with Type 1 Diabetes 2020 Abstract
Food recommendation using machine learning for physical activities in patients with type 1 diabetes 2019 Academic article
Reinforcement-Learning Optimal Control for Type-1 Diabetes 2018 Academic chapter/article/Conference paper
Control of Blood Glucose for Type-1 Diabetes by Using Reinforcement Learning with Feedforward Algorithm 2018 Academic article
Reinforcement-Learning Optimal Control for Type-1 Diabetes 2018 Poster
Data-Driven Robust Control Using Reinforcement Learning 2018 Lecture
A Decision Support Tool for Optimal Control of Planet Temperature Using Reinforcement Learning 2018 Lecture
Reinforcement Learning Algorithm for Patients with Type-1 Diabetes 2017 Poster
Phuong Dinh's project reports
Report no. Title Author(s)
2023 01 Implementering av kunstig intelligens i norsk helsetjeneste: veien til utbredt bruk Alexandra Makhlysheva, Luis Marco Ruiz, Therese Svenning, Phuong Dinh Ngo, Miguel Angel Tejedor Hernandez, Anne Torill Nordsletta, Maryam Tayefi Nasrabadi
2022 01 Implementation of artificial intelligence in Norwegian healthcare: The road to broad adoption Alexandra Makhlysheva, Luis Marco Ruiz, Therese Svenning, Phuong Dinh Ngo, Miguel Angel Tejedor Hernandez, Anne Torill Nordsletta, Maryam Tayefi Nasrabadi
2020 04 Utforsking av elektronisk fenotyping for klinisk praksis Alexandra Makhlysheva, Phuong Dinh Ngo, Maryam Tayefi Nasrabadi, Torbjørn Torsvik, Taridzo Chomutare
2020 03 Exploring electronic phenotyping for clinical practice in Norwegian settings Alexandra Makhlysheva, Maryam Tayefi Nasrabadi, Phuong Dinh Ngo, Taridzo Chomutare, Torbjørn Torsvik
Phuong Dinh's posters
Poster no. Title Author(s) Size
2020 02 Toward a Personalized Decision Support System for Blood Glucose Management During and After Physical Activities in Patients with Type 1 Diabetes Phuong Dinh Ngo, Eirik Årsand, Fred Godtliebsen 90x120 cm