Maryam Tayefi Nasrabadi

Bio

Maryam Tayefi is a senior researcher at the Norwegian Centre for E-health Research. She is a Statistician and has many experiences in analysing health data sets using classical statistical methods and machine learning algorithms. She got her Bachelor and Master degrees in Statistics from Azad University of Mashhad, Iran. Also, she got her M.phil in Statistics (2010) and PhD in data mining (2013) from Pune University, Pune, India. Then, she worked as a post doctoral researcher at Mashhad University of Medical Sciences (MUMS), Mashhad, Iran (2015). Since 2016, She was a Research Assistant Professor at Faculty of Medicine, MUMS. During this period, she worked on different health data sets and she was a co-supervisor of many MSc, PhD and General medicine students and also specialist and sub-specialist physicians.
She got the best researcher prize of MUMS in 2018.
Her research interest is in prediction models with both classical statistical models and machine learning algorithms. She has been involved in the area of analysing unstructured data such as clinical text.

Maryam Tayefi Nasrabadi

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Tel: +47 90417880

Title: Senior Researcher

Department: Health Analytics


CRIStin profile

Maryam's projects

Project title Year Theme Project management
PACT I and II 2015 - 2021 Patient pathways
Gro Berntsen
Economical evaluation of the patient centered health service team 2015 - 2021 Patient pathways
Trine Strand Bergmo
Exploring electronic phenotyping for clinical practice in Norway 2019 - 2020 Health data
Alexandra Makhlysheva
Report for AI Implementation in Healthcare 2021 - 2022 Health data
Phuong Dinh Ngo
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 - 2023 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

Maryam's publications in Cristin

Title Year Category
Machine Learning in Chronic Pain Research: A Scoping Review 2021 Academic literature review
Ustrukturerte data fra pasientjournaler kan gi bedre behandlig 2021 Interview
Challenges and opportunities beyond structured data in analysis of electronic health records 2021 Academic literature review
Evaluation of the association between the healthy eating index and the level of serum and dietary intake of copper and zinc 2020 Academic article
Utforsking av elektronisk fenotyping for klinisk praksis 2020 Report
Exploring electronic phenotyping for clinical practice in Norwegian settings 2020 Report
50 bp deletion in promoter superoxide dismutase 1 gene and increasing risk of cardiovascular disease in Mashhad stroke and heart atherosclerotic disorder cohort study 2020 Academic article
Comprehensive laboratory reference intervals for routine biochemical markers and pro-oxidant-antioxidant balance (PAB) in male adults 2020 Academic article
Dietary Inflammatory Index is associated with Healthy Eating Index, Alternative Healthing Eating Index, and dietary patterns among Iranian adults 2020 Academic article
Association of a genetic variant in the AKT gene locus and cardiovascular risk factors 2020 Academic article
Risk-Averse Food Recommendation Using Bayesian Feedforward Neural Networks for Patients with Type 1 Diabetes Doing Physical Activities 2020 Academic article
Altered serum Zinc and Copper in Iranian Adults who were of normal weight but metabolically obese 2019 Academic article
Machine learning, health analytics and AI: Lessons from Norway 2019 Academic lecture
Food recommendation using machine learning for physical activities in patients with type 1 diabetes 2019 Academic article
Incidence and Risk Factors of Common Viral Infections among Renal Transplant Recipients during the First Year Post-Transplant in North-eastern Iran 2019 Academic article
Determinants of the magnitude of response to vitamin D supplementation in adolescent girls identified using a decision tree algorithm 2019 Academic article

Maryam's project reports

Report no. Title Author(s)
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

Maryam's fact sheets

Fact sheet no Title Contact
2020 01 Exploring electronic phenotyping for clinical practice Alexandra Makhlysheva Anne Torill Nordsletta Maryam Tayefi Nasrabadi Taridzo Chomutare