| Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications K Moulaei, A Yadegari, M Baharestani, S Farzanbakhsh, B Sabet, ... International Journal of Medical Informatics, 105474, 2024 | 40 | 2024 |
| 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 | 29 | 2022 |
| 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 | 26 | 2023 |
| Application of artificial intelligence in chronic myeloid leukemia (CML) disease prediction and management: a scoping review M Ram, MR Afrash, K Moulaei, M Parvin, E Esmaeeli, Z Karbasi, ... BMC cancer 24 (1), 1026, 2024 | 19 | 2024 |
| 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 | 19 | 2023 |
| 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 | 19 | 2022 |
| 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 | 16 | 2022 |
| Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models K Moulaei, MR Afrash, M Parvin, S Shadnia, M Rahimi, B Mostafazadeh, ... Scientific Reports 14 (1), 15751, 2024 | 13 | 2024 |
| 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 | 12 | 2022 |
| 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 | 11 | 2020 |
| 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 | 6 | 2022 |
| 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 | 6 | 2021 |
| Prediction of acute organophosphate poisoning severity using machine learning techniques SM Hosseini, M Rahimi, MR Afrash, P Ziaeefar, P Yousefzadeh, ... Toxicology 486, 153431, 2023 | 5 | 2023 |
| 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 | 5 | 2022 |
| & Sabahi, A.(2024). Application of artificial intelligence in chronic myeloid leukemia (CML) disease prediction and management: a scoping review M Ram, MR Afrash, K Moulaei, M Parvin, E Esmaeeli, Z Karbasi BMC cancer 24 (1), 1026, 0 | 5 | |
| 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 | 4 | 2022 |
| 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 | 4 | 2022 |
| Developing the breast cancer risk prediction system using hybrid machine learning algorithms MR Afrash, A Bayani, M Shanbehzadeh, M Bahadori, H Kazemi-Arpanahi Journal of Education and Health Promotion 11 (1), 272, 2022 | 4 | 2022 |
| Investigation of relation between shift work and biomarkers of metabolic syndrome of workers, a case study at a petrochemical industry A Harati, SJ Shahtaheri, A Honarjoy Iran Occupational Health 15 (3), 66-76, 2018 | 4 | 2018 |
| 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 | 3 | 2022 |
Khadijeh MoulaeiAssistant Professor of Medical Informatics, Iran University of Medical SciencesBestätigte E-Mail-Adresse bei tak.iums.ac.ir