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Phuong Dinh Ngo

Bio

Phuong D. Ngo mottok sin Ph.D.-grad fra Purdue University i USA, innen intelligent kontroll. Forskningsområdene hans har fokus på robust og sikker kunstig intelligens ved hjelp av maskinlæring og kontrollteorier. Spesifikt har forskningen som mål å skape intelligente kontrollere og støttesystemer for beslutning som kan brukes innen helseomsorg, for eksempel kunstig bukspyttkjertel for pasienter med diabetes type 1 og et støttesystem for kliniske beslutninger for pasienter med multimorbiditet.

Phuongs prosjekter
Prosjekttittel År Tema Prosjektledelse
PACT I og II 2015 - 2021 Pasientforløp
 Gro Berntsen
Elektronisk fenotyping for klinisk bruk i Norge 2019 - 2020 Helsedata
 Alexandra Makhlysheva
Kunnskapsoppsummering for implementering av KI i helsetjenesten 2021 - 2022 Helsedata
 Maryam Tayefi Nasrabadi
WARIFA: Watching the risk factors: Artificial intelligence and the personalized prevention and management of chronic conditions 2021 - 2025 Innbyggertjenester
Helsedata
 Conceição Granja Thomas Roger Schopf
ClinCode Datamaskinstøttet klinisk ICD-10 koding for å forbedre effektiviteten og kvaliteten i helsetjenesten 2021 - 2024 Helsedata
 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: Sensordata og maskinlæring for å støtte hormonerstatning av skjoldbruskkjertelen 2024 - 2026 Helsedata
Tjenester for helsepersonell
 Miguel A. Tejedor
RESPOND: Kulturelt tilpasset digital brukermedvirkerstøtte for unge samiske personer med depresjon 2024 - 2024 Innbyggertjenester
 Bo Wang
AI Democratization for All (AIDeA) 2024 - 2025 Innbyggertjenester
 Anne Moen
AI-SHeFMan - Bærekraftig og sunn mat ved bruk av generativ kunstig intelligens 2025 - 2027 Innbyggertjenester
Helsedata
Citizen services
Health data
 Maryam Tayefi Nasrabadi
Phuongs publikasjoner i Cristin
Tittel År Kategori
Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial 2025 Academic article
Domain-Specific Pretraining and Evaluation of NorDeClin-BERT for ICD-10 Code Prediction in Norwegian Clinical Texts 2025 Academic article
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
Exploring Pain Reduction through Physical Activity: A Case Study of Seven Fibromyalgia Patients 2024 Academic article
Telehealth development in the WHO European region: Results from a quantitative survey and insights from Norway 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
Implementation of artificial intelligence in Norwegian healthcare: The road to broad adoption 2022 Report
Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators 2022 Academic literature review
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
Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation 2021 Academic article
Machine Learning in Chronic Pain Research: A Scoping Review 2021 Academic literature review
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
Kunstig intelligens kan hjelpe diabetespasienter å trene trygt 2021 Interview
Challenges and opportunities beyond structured data in analysis of electronic health records 2021 Academic literature review
Toward A Personalized Decision Support System for Blood Glucose Management During and After Physical Activities in Patients with Type 1 Diabetes 2020 Abstract
Risk-Averse Food Recommendation Using Bayesian Feedforward Neural Networks for Patients with Type 1 Diabetes Doing Physical Activities 2020 Academic article
Utforsking av elektronisk fenotyping for klinisk praksis 2020 Report
Exploring electronic phenotyping for clinical practice in Norwegian settings 2020 Report
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 Poster
A Decision Support Tool for Optimal Control of Planet Temperature Using Reinforcement Learning 2018 Lecture
Data-Driven Robust Control Using Reinforcement Learning 2018 Lecture
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 Academic chapter/article/Conference paper
Reinforcement Learning Algorithm for Patients with Type-1 Diabetes 2017 Poster
Phuongs prosjektrapporter
Rapportnr. Tittel Forfatter(e)
2023 01 Implementering av kunstig intelligens i norsk helsetjeneste: veien til utbredt bruk Alexandra Makhlysheva, Luis Marco Ruiz, Phuong Dinh Ngo, Miguel A. Tejedor, Anne Torill Nordsletta, Maryam Tayefi Nasrabadi, Therese Svenning
2022 01 Implementation of artificial intelligence in Norwegian healthcare: The road to broad adoption Alexandra Makhlysheva, Luis Marco Ruiz, Phuong Dinh Ngo, Miguel A. Tejedor, Anne Torill Nordsletta, Maryam Tayefi Nasrabadi, Therese Svenning
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
Phuongs postere
Posternr. Tittel Forfatter(e) Størrelse
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