Phuong Dinh Ngo

Bio

Phuong D. Ngo mottok sin Ph.D.-grad fra Purdue University i USA, innen intelligent kontroll. Han er seniorforsker innen helseanalyse ved Nasjonalt senter for e-helseforskning. 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.

Phuong Dinh Ngo

email hidden; JavaScript is required

Telefon: 920 82 071

Stilling: Seniorforsker

Avdeling: Helsedata og analyse


CRIStin-profil

Researchgate-profil

LinkedIn-profil

Phuong Dinhs 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 - 2024 Innbyggertjenester
Helsedata
Conceição Granja Thomas Roger Schopf
Identification of multimorbid patients with impactable risk profiles using artificial intelligence, the IM-PACT method 2021 - 2023 Pasientforløp
Helsedata
Gro Berntsen Maryam Tayefi Nasrabadi

Phuong Dinhs publikasjoner i Cristin

Tittel År Kategori
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 Dinhs prosjektrapporter

Rapportnr. Tittel Forfatter(e)
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