Publications by authors named "Mohammad Reza Afrash"

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Assessing the impact of telemedicine interventions on systolic and diastolic blood pressure reduction: A systematic review and meta-analysis.
Khadijeh Moulaei, Peyvand Parhizkar Roudsari, Adel Shahrokhi Sardoo, Mobina Hosseini, Mehrdad Anabestani, Mohammad Reza Afrash

J Telemed Telecare· December 2025

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Predicting and classifying type 2 diabetes using a transparent ensemble model combining random forest, k-nearest neighbor, and neural networks.
Niloufar Zaferani, Mohammad Reza Afrash, Khadijeh Moulaei

Sci Rep· December 2025

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Telemidwifery: A scoping review on applications, advantages and obstacles.
Khadijeh Moulaei, Pershia Davoodi Karsalari, Atousa Moghadam Fard, Reihaneh Shahmoradi Pour, Reza Moulaei, Mohammad Reza Afrash

Midwifery· September 2025

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Predicting Mesothelioma Using Artificial Intelligence: A Scoping Review of Common Models and Applications.
Malihe Ram, Mohammad Reza Afrash, Khadijeh Moulaei, Erfan Esmaeeli, Mohadeseh Sadat Khorashadizadeh

Technol Cancer Res Treat· May 2025

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Exploring tele-speech therapy: A scoping review of interventions, applications, benefits, and challenges.
Khadijeh Moulaei, Fatemeh Dinari, Mobina Hosseini, Sohrab Almasi, Babak Sabet, Mohammad Reza Afrash

Int J Med Inform· March 2025

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Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models.
Khadijeh Moulaei, Lida Afshari, Reza Moulaei, Babak Sabet, Seyed Mohammad Mousavi, Mohammad Reza Afrash

Sci Rep· December 2024

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A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing.
Khadijeh Moulaei, Somayeh Salehi, Masoud Shahabian, Babak Sabet, Farshid Rezaei, Mohammad Reza Afrash

BMC Med Inform Decis Mak· November 2024

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Determining the minimum data set of geriatric assessment at the Iran primary health care referral system: shifting from fragmentation to integration care for older people.
Razieh Mirzaeian, Mohsen Shafiee, Mohammad Reza Afrash, Hadi Kazemi-Arpanahi

BMC Health Serv Res· September 2024

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Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications.
Khadijeh Moulaei, Atiye Yadegari, Mahdi Baharestani, Shayan Farzanbakhsh, Babak Sabet, Mohammad Reza Afrash

Int J Med Inform· August 2024

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Application of artificial intelligence in chronic myeloid leukemia (CML) disease prediction and management: a scoping review.
Malihe Ram, Mohammad Reza Afrash, Khadijeh Moulaei, Mohammad Parvin, Erfan Esmaeeli

BMC Cancer· August 2024

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Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models.
Khadijeh Moulaei, Mohammad Reza Afrash, Mohammad Parvin, Shahin Shadnia, Mitra Rahimi

Sci Rep· July 2024

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Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms.
Mitra Rahimi, Mohammad Reza Afrash, Shahin Shadnia, Babak Mostafazadeh, Peyman Erfan Talab Evini

BMC Med Inform Decis Mak· February 2024

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Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study.
Mohammad Reza Afrash, Esmat Mirbagheri, Mehrnaz Mashoufi, Hadi Kazemi-Arpanahi

BMC Med Inform Decis Mak· April 2023

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Prediction of acute organophosphate poisoning severity using machine learning techniques.
Sayed Masoud Hosseini, Mitra Rahimi, Mohammad Reza Afrash, Pardis Ziaeefar, Parsa Yousefzadeh

Toxicology· March 2023

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Design, implementation, and evaluation of a CPOE system in a cancer care setting: A case study on the gastric cancer patients.
Mohammad Reza Afrash, Shirin Kianersi, Mohammadkarim Bahadori

J Educ Health Promot· February 2023

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Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors.
Mohammad Reza Afrash, Mohsen Shafiee, Hadi Kazemi-Arpanahi

BMC Gastroenterol· January 2023

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Predicting Risk of Mortality in COVID-19 Hospitalized Patients using Hybrid Machine Learning Algorithms.
Mohammad Reza Afrash, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi

J Biomed Phys Eng· December 2022

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Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia.
Mostafa Shanbehzadeh, Mohammad Reza Afrash, Nader Mirani, Hadi Kazemi-Arpanahi

BMC Med Inform Decis Mak· September 2022

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Design and Development of an Intelligent System for Predicting 5-Year Survival in Gastric Cancer.
Mohammad Reza Afrash, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi

Clin Med Insights Oncol· August 2022

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Predicting hospital readmission risk in patients with COVID-19: A machine learning approach.
Mohammad Reza Afrash, Hadi Kazemi-Arpanahi, Mostafa Shanbehzadeh, Raoof Nopour, Esmat Mirbagheri

Inform Med Unlocked· March 2022

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