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Fysihka ja teknologiija instituhtta maryam.t.nasrabadi@uit.no

Maryam Tayefi Nasrabadi



  • Luis Marco Ruiz, Miguel Angel Tejedor Hernandez, Phuong Dinh Ngo, Alexandra Makhlysheva, Therese Olsen Svenning, Kari Dyb et al.:
    A multinational study on artificial intelligence adoption: Clinical implementers' perspectives
    International Journal of Medical Informatics 2024 DOI
  • Monika Knudsen Gullslett, Elettra Ronchi, Lene Lundberg, Dillys Larbi, Karianne Fredenfeldt Lind, Maryam Tayefi Nasrabadi et al.:
    Telehealth development in the WHO European region: Results from a quantitative survey and insights from Norway
    International Journal of Medical Informatics 2024 DOI
  • Payam Sharifan, Toktam Sahranavard, Mohammad Rashidmayvan, Susan Darroudi, Mohammad Vahedi Fard, Kimia Mohammadhasani et al.:
    Effect of dairy products fortified with vitamin d3 on restless legs syndrome in women with premenstrual syndrome, abdominal obesity and vitamin d deficiency: a pilot study
    BMC Women's Health 2024 DOI
  • Alejandro Deniz-Garcia, Himar Fabelo, Antonio J. Rodriguez-Almeida, Garlene Zamora-Zamorano, Maria Castro-Fernandez, Maria del Pino Alberiche Ruano et al.:
    Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges
    Journal of Medical Internet Research 2023 ARKIV / DOI
  • Zahra Asadi, Hamideh Ghazizadeh, Mahdiyeh Yaghooti-Khorasani, Moniba Bijari, Hamed Khedmatgozar, Ali Ebrahimi Dabagh et al.:
    Several Risk Factors Associated with Cardiovascular Disease Event: Results from The Population-based MASHAD Cohort Study
    Journal of cardio-thoracic medicine 2023 DOI
  • Mahdieh Khazaee, Mahdi Taheri Bonakdar, Mahmoud Ebrahimi, Mohammad Reza Aarpazhooh, Hamideh Ghazizadeh, Mohsen Mouhebati et al.:
    Evaluating The Association Between Serum Hsp27 Antibody and Hypertension in Patients without Underlying Cardiovascular Disease
    Journal of cardio-thoracic medicine 2023 DOI
  • Zahra Amiri, Fahimeh Moafian, Payam Sharifan, Elahe Hasanzadeh, Zahra Khorasanchi, Moniba Bijari et al.:
    Determinants of Serum Vitamin D level; A Data Mining Approach
    Journal of cardio-thoracic medicine 2023 DOI
  • Fahimeh Moafian, Payam Sharifan, Reza Assaran Darban, Zahra Khorasanchi, Zahra Amiri, Samira Roohi et al.:
    Factors associated with trabecular bone score and bone mineral density; a machine learning approach
    Journal of clinical densitometry 2022 DOI
  • Taridzo Fred Chomutare, Miguel Angel Tejedor Hernandez, Therese Olsen Svenning, Luis Marco Ruiz, Maryam Tayefi Nasrabadi, Karianne Fredenfeldt Lind et al.:
    Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators
    International Journal of Environmental Research and Public Health (IJERPH) 2022 ARKIV / DOI
  • Ove Lintvedt, Maryam Tayefi Nasrabadi, Espen Solbakken Nordheim, Rune Pedersen, Kristian Malm-Nicolaisen, Halvard Lærum et al.:
    Electronic Health Records User Experiences: a Nationwide Survey From Norwegian Hospitals.
    International Academy, Research and Industry Association (IARIA) 2022 FULLTEKST
  • Maryam Saberi-Karimian, Zahra Khorasanchi, Hamideh Ghazizadeh, Maryam Tayefi, Sara Saffar, Gordon A. Ferns et al.:
    Potential value and impact of data mining and machine learning in clinical diagnostics
    Critical reviews in clinical laboratory sciences 2021 DOI
  • Maryam Tayefi, Phuong Ngo, Taridzo Chomutare, Hercules Dalianis, Elisa Salvi, Andrius Budrionis et al.:
    Challenges and opportunities beyond structured data in analysis of electronic health records
    Wiley Interdisciplinary Reviews: Computational Statistics 14. Feb 2021 ARKIV / DOI
  • Maryam Saberi-Karimian, Hamideh Ghazizadeh, Marzieh Kabirian, Elham Barati, Mohammad Sobhan Sheikh Andalibi, Smaneh Khakpour et al.:
    Association of healthy eating index and the alternative healthy eating index with the cell blood count indices
    Acta Biomedica 2021 DOI
  • Leila Ismail, Huned Materwala, Maryam Tayefi, Phuong Ngo, Achim P. Karduck :
    Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation
    Archives of Computational Methods in Engineering 2021 DOI
  • Payam Sharifan, Amirhosein Ziaee, Susan Darroudi, Mitra Rezaie, Mohamad Safarian, Saeid Eslami et al.:
    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
    Current Medical Research and Opinion 2021 DOI
  • Maral Barzegar-Amini, Fateme Khorramruz, Hamideh Ghazizadeh, Reza Sahebi, Maryam Mohammadi-Bajgiran, Hossein Mohaddes Ardabili et al.:
    Association between serum Vitamin E concentrations and the presence of Metabolic Syndrome: A population-based cohort study
    Acta Biomedica 2021 DOI
  • Reza Sahebi, Hamideh Ghazizadeh, Amir Avan, Maryam Tayefi, Sara Saffar-Soflaei, Mohsen Mouhebati et al.:
    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
    Clinical Biochemistry 2021 DOI
  • Payam Sharifan, Mahdiyeh Yaghooti-Khorasani, Zahra Asadi, Susan Darroudi, Mitra Rezaie, Mohamad Safarian et al.:
    Association of dietary patterns with serum vitamin D concentration among Iranian adults with abdominal obesity
    Nutrition Journal 2021 DOI
  • Marit Dagny Kristine Jenssen, Per Atle Bakkevoll, Phuong Ngo, Andrius Budrionis, Asbjørn Johansen Fagerlund, Maryam Tayefi et al.:
    Machine Learning in Chronic Pain Research: A Scoping Review
    Applied Sciences 2021 ARKIV / DOI
  • Hamideh Ghazizadeh, Mahdiyeh Yaghooti-Khorasani, Susan Darroudi, Habibollah Esmaily, Payam Sharifan, Maryam Tayefi et al.:
    Evaluation of the association between the healthy eating index and the level of serum and dietary intake of copper and zinc
    Obesity Medicine 2020 DOI
  • Hamideh Ghazizadeh, Mary Kathryn Bohn, Roshanak Ghaffarian Zirak, Atieh Kamel Khodabandeh, Reza Zare-Feyzabadi, Maryam Saberi-Karimian et al.:
    Comprehensive laboratory reference intervals for routine biochemical markers and pro-oxidant-antioxidant balance (PAB) in male adults
    Journal of Clinical Laboratory Analysis 2020 DOI
  • Farnoush Kermanshahi, Hamideh Ghazizadeh, Nasih Abdulla Hussein, Forouzan Amerizadeh, Sara Samadi, Maryam Tayefi et al.:
    Association of a genetic variant in the AKT gene locus and cardiovascular risk factors
    Cellular and Molecular Biology 2020 DATA / DOI
  • Phuong Ngo, Miguel Angel Tejedor Hernandez, Maryam Tayefi, Taridzo Chomutare, Fred Godtliebsen :
    Risk-Averse Food Recommendation Using Bayesian Feedforward Neural Networks for Patients with Type 1 Diabetes Doing Physical Activities
    Applied Sciences 2020 ARKIV / DOI
  • Zahra Asadi, Roshanak Ghaffarian Zirak, Mahdiyeh Yaghooti Khorasani, Mostafa Saedi, Seyed Mostafa Parizadeh, Reza Jafarzadeh-Esfehani et al.:
    Dietary Inflammatory Index is associated with Healthy Eating Index, Alternative Healthing Eating Index, and dietary patterns among Iranian adults
    Journal of Clinical Laboratory Analysis 2020 DOI
  • Susan Darroudi, Amir Tajbakhsh, Habibollah Esmaily, Hamideh Ghazizadeh, Parvin Zamani, Fatemeh Sadabadi et al.:
    50 bp deletion in promoter superoxide dismutase 1 gene and increasing risk of cardiovascular disease in Mashhad stroke and heart atherosclerotic disorder cohort study
    BioFactors 2020 DOI
  • Susan Darroudi, Narges Fereydouni, Maryam Tayefi, Habibollah Esmaily, Fatemeh Sadabadi, Zahra Khashyarmanesh et al.:
    Altered serum Zinc and Copper in Iranian Adults who were of normal weight but metabolically obese
    Scientific Reports 2019 DOI
  • Kayhan Goonodi, Maryam Tayefi, Afsane Bahrami, Alireza Amirabadi Zadeh, Gordon A. Ferns, Farzaneh Mohammadi et al.:
    Determinants of the magnitude of response to vitamin D supplementation in adolescent girls identified using a decision tree algorithm
    BioFactors 2019 DOI
  • Phuong Ngo, Maryam Tayefi, Anne Torill Nordsletta, Fred Godtliebsen :
    Food recommendation using machine learning for physical activities in patients with type 1 diabetes
    Linköping Electronic Conference Proceedings 2019 ARKIV / FULLTEKST
  • Elham Shaarbaf Eidgahi, Zahra Lotfi, Maryam Tayefi, Afsane Bahrami, Seyyede Fatemeh Shams, Sepideh Shakeri et al.:
    Incidence and Risk Factors of Common Viral Infections among Renal Transplant Recipients during the First Year Post-Transplant in North-eastern Iran
    Saudi Journal of Kidney Diseases and Transplantation 2019 DOI
  • Maryam Tayefi Nasrabadi, Hasse Berntsen, Lars Bjørgan Schrøder :
    Blir det nå mer kunstig intelligens i norsk helsevesen?
    13. Jan 2023 FULLTEKST
  • Alexandra Makhlysheva, Luis Marco Ruiz, Therese Olsen Svenning, Phuong Ngo, Miguel Angel Tejedor Hernandez, Anne Torill Nordsletta et al.:
    Implementering av kunstig intelligens i norsk helsetjeneste: veien til utbredt bruk
    2023 FULLTEKST
  • Maryam Tayefi Nasrabadi :
    Presentation of report on AI in healthcare
    2022 FULLTEKST
  • Ove Lintvedt, Maryam Tayefi Nasrabadi, Espen Solbakken Nordheim, Rune Pedersen, Kristian Malm-Nicolaisen, Halvard Lærum et al.:
    Electronic Health Records user experiences: a nationwide survey from Norwegian hospitals
    2022
  • Alexandra Makhlysheva, Luis Marco Ruiz, Therese Olsen Svenning, Phuong Ngo, Miguel Angel Tejedor Hernandez, Maryam Tayefi Nasrabadi et al.:
    Implementation of artificial intelligence in Norwegian healthcare: The road to broad adoption
    2022 FULLTEKST
  • Niloofar Shabani, Atieh Kamel Khodabandeh, Mary Kathryn Bohn, Hamideh Ghazizadeh, Maryam Saberi-Karimian, Roshanak Ghafarian Zirak et al.:
    Normative serum lipid profiles in the Iranian adult population
    International Journal of Clinical Practice 2021 DOI
  • Zahra Amiri, Mina Nosrati, Payam Sharifan, Sara Saffar Soflaei, Susan Darroudi, Hamideh Ghazizadeh et al.:
    Factors determining the serum 25-hydroxyvitamin D response to vitamin D supplementation: Data mining approach
    BioFactors 2021 DOI
  • Leila Ismail, Huned Materwala, Maryam Tayefi, Phuong Ngo, Achim P. Karduck :
    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)
    Archives of Computational Methods in Engineering 2021 DOI
  • Maryam Tayefi, Hasse Berntsen :
    Ustrukturerte data fra pasientjournaler kan gi bedre behandlig
    23. Apr 2021 FULLTEKST
  • Alexandra Makhlysheva, Phuong Ngo, Maryam Tayefi, Torbjørn Torsvik, Taridzo Chomutare :
    Utforsking av elektronisk fenotyping for klinisk praksis
    2020 FULLTEKST
  • Alexandra Makhlysheva, Maryam Tayefi, Phuong Ngo, Taridzo Chomutare, Torbjørn Torsvik :
    Exploring electronic phenotyping for clinical practice in Norwegian settings
    2020 FULLTEKST
  • Alexandra Makhlysheva, Maryam Tayefi :
    Machine learning, health analytics and AI: Lessons from Norway
    2019 OMTALE

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