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Mohammad Reza Afrash
Mohammad Reza Afrash
Assistant Professor
Verified email at sbmu.ac.ir
Title
Cited by
Cited by
Year
Predicting hospital readmission risk in patients with COVID-19: A machine learning approach
MR Afrash, H Kazemi-Arpanahi, M Shanbehzadeh, R Nopour, ...
Informatics in medicine unlocked 30, 100908, 2022
182022
Machine learning-based clinical decision support system for automatic diagnosis of COVID-19 based on clinical data
MR Afrash, L Erfannia, M Amrae, N Mehrabi, S Jelvay, R Nopour, ...
Journal of Biostatistics and Epidemiology, 2022
142022
Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors
MR Afrash, M Shafiee, H Kazemi-Arpanahi
BMC gastroenterology 23 (1), 6, 2023
102023
A comparison of data mining methods for diagnosis and prognosis of heart disease
MR Afrash, M Khalili, MS Salekde
International Journal of Advanced Intelligence Paradigms 16 (1), 88-97, 2020
102020
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia
M Shanbehzadeh, MR Afrash, N Mirani, H Kazemi-Arpanahi
BMC Medical Informatics and Decision Making 22 (1), 236, 2022
92022
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study
MR Afrash, E Mirbagheri, M Mashoufi, H Kazemi-Arpanahi
BMC Medical Informatics and Decision Making 23 (1), 54, 2023
82023
Proposing an intelligent monitoring system for early prediction of need for intubation among COVID-19 hospitalized patients
MR Afrash, H Kazemi-Arpanahi, R Nopour, ES Tabatabaei, ...
Journal of Environmental Health and Sustainable Development, 2022
62022
Design and development of an intelligent system for predicting 5-year survival in gastric cancer
MR Afrash, M Shanbehzadeh, H Kazemi-Arpanahi
Clinical Medicine Insights: Oncology 16, 11795549221116833, 2022
62022
Predictive modeling of hospital length of stay in COVID-19 patients using machine learning algorithms
MR Afrash, H Kazemi-Arpanahi, P Ranjbar, R Nopour, M Amraei, M Saki, ...
Journal of Medicinal and Chemical Sciences 4 (5), 525-537, 2021
42021
Investigating the relationship between shift working and blood parameters: A case study at a petrochemical industry
A Harati, SJ Shahtaheri, B Harati, A Honarjoy, M Afrash, A Askari, ...
Iran Occupational Health 15 (3), 66-76, 2018
42018
Prediction of acute organophosphate poisoning severity using machine learning techniques
SM Hosseini, M Rahimi, MR Afrash, P Ziaeefar, P Yousefzadeh, ...
Toxicology 486, 153431, 2023
32023
Predicting risk of mortality in COVID-19 hospitalized patients using hybrid machine learning algorithms
MR Afrash, M Shanbehzadeh, H Kazemi-Arpanahi
Journal of biomedical physics & engineering 12 (6), 611, 2022
32022
Design and implementation of a guideline-based workflow software system for improving the chemotherapy process
MR Afrash, A Hosseini, R Rabiei, S Salari, MM Sepehri, S Kianersi
Shiraz E-Medical Journal 23 (5), 2022
32022
Impact of computerized provider order entry on chemotherapy medication errors: A systematic review
MR Afrash, R Rabiei, A Hosseini, S Salari, M Sepehri
International Journal of Cancer Management 15 (3), 2022
32022
Comparison of machine learning tools for the prediction of ICU admission in COVID-19 hospitalized patients
M Shanbehzadeh, H Haghiri, MR Afrash, M Amraei
Shiraz E Medical Journal, 2022
22022
Development of an intelligent clinical decision support system for the early prediction of diabetic nephropathy
MR Afrash, F Rahimi, H Kazemi-Arpanahi, M Shanbezadeh, M Amraei, ...
Informatics in Medicine Unlocked 35, 101135, 2022
22022
Data Mining Methods for the Academic Level Management System of Students and Higher Education Institutions
MR Afrash, M Khodamoradi, M Forozan Monfared
First National Conference on Technology Advances in Electrical, Electronics …, 2014
22014
Design and implementation of an intelligent clinical decision support system for diagnosis and prediction of chronic kidney disease
MR Afrash, A Valinejadi, M Amraei, R Noupor
Koomesh, 2022
12022
Designing an Intelligent Decision Support System for Early Prediction of Intubation Need among COVID-19 Hospitalized Patients
MR Afrash, H Kazemi-Arpanahi, R Nopour, ES Tabatabaei, ...
J Environ Health Sustain Dev 7 (3), 1698-707, 2022
12022
Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms
M Rahimi, MR Afrash, S Shadnia, B Mostafazadeh, PET Evini, MS Bardsiri, ...
BMC medical informatics and decision making 24 (1), 38, 2024
2024
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