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Maryam Tayefi Nasrabadi

Bio

Maryam Tayefi is a senior researcher at the Norwegian Centre for E-health Research. She is a statistician and has a lot of experience in analysing health data sets using classical statistical methods and machine learning algorithms. She has statistics degrees from Azad University of Mashhad, Iran. In addition she has an M.phil in statistics (2010) and a 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. Starting in 2016, she was a research assistant professor at the Faculty of Medicine, MUMS.

She received the "best researcher" prize from MUMS in 2018.

Maryam's research interests are prediction models with both classical statistical models and machine learning algorithms. She is involved in the WARIFA project, where she works with context awareness, prediction models and machine learning alorithms. Further, she is working on evaluating the algorithm being developed in the ClinCode project. Maryam is also the project leader for creating a knowledge summary about artifical intelligence in health care, as well as the statisical and machine learning project, IM-PACT.

Maryam's projects
Project title Year Theme Project management
PACT I and II 2015 - 2021 Patient pathways
Gro Berntsen
Economic evaluation of the PAtient Centered Team (PACT) 2015 - 2023 Patient pathways
Trine Strand Bergmo
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
The large-scale implementation of e-consultations with the GP: a mixed-methods evaluation of the impact on health system, GPs and patients 2022 - 2027 Citizen services
Services for health professionals
Paolo Zanaboni
AI Democratization for All 2024 - 2025 Innbyggertjenester
Anne Moen
Maryam's publications in Cristin
Title Year Category
A multinational study on artificial intelligence adoption: Clinical implementers' perspectives 2024 Academic article
Several Risk Factors Associated with Cardiovascular Disease Event: Results from The Population-based MASHAD Cohort Study 2023 Academic article
Determinants of Serum Vitamin D level; A Data Mining Approach 2023 Academic article
Evaluating The Association Between Serum Hsp27 Antibody and Hypertension in Patients without Underlying Cardiovascular Disease 2023 Academic article
Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges 2023 Academic article
Implementering av kunstig intelligens i norsk helsetjeneste: veien til utbredt bruk 2023 Report
Blir det nå mer kunstig intelligens i norsk helsevesen? 2023 Interview
Presentation of report on AI in healthcare 2022 Academic lecture
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
Factors associated with trabecular bone score and bone mineral density; a machine learning approach 2022 Academic article
Electronic Health Records user experiences: a nationwide survey from Norwegian hospitals 2022 Academic lecture
Electronic Health Records User Experiences: a Nationwide Survey From Norwegian Hospitals. 2022 Academic chapter/article/Conference paper
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
Association of dietary patterns with serum vitamin D concentration among Iranian adults with abdominal obesity 2021 Academic article
Association between a genetic variant in scavenger receptor class B type 1 and its role on codon usage bias with increased risk of developing coronary artery disease 2021 Academic article
Association between serum Vitamin E concentrations and the presence of Metabolic Syndrome: A population-based cohort study 2021 Academic article
Factors determining the serum 25-hydroxyvitamin D response to vitamin D supplementation: Data mining approach 2021 Short communication
Normative serum lipid profiles in the Iranian adult population 2021 Letter to the editor
Effect of low-fat dairy products fortified with 1500IU nano encapsulated vitamin D3 on cardiometabolic indicators in adults with abdominal obesity: a total blinded randomized controlled trial 2021 Academic article
Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation 2021 Academic article
Association of healthy eating index and the alternative healthy eating index with the cell blood count indices 2021 Academic article
Potential value and impact of data mining and machine learning in clinical diagnostics 2021 Academic literature review
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)
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
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