Mohammad Reza Afrash

501 citations

31 papers · 259 indexed · 1 hit paper · h-index 9

Health Informatics top 2%
Health Information Management top 5%
- Artificial Intelligence in Healthcare 9
Radiology, Nuclear Medicine and Imaging
- COVID-19 diagnosis using AI 5
Artificial Intelligence
- Machine Learning in Healthcare 5
Neuropsychology and Physiological Psychology
Infectious Diseases
- COVID-19 Clinical Research Studies 3
Epidemiology
- Acute Ischemic Stroke Management 3
- Chronic Disease Management Strategies 2
Pulmonary and Respiratory Medicine
- Gastric Cancer Management and Outcomes 3
General Health Professions
- Mobile Health and mHealth Applications 3

Co-authors: Hadi Kazemi-Arpanahi Khadijeh Moulaei Babak Sabet Mostafa Shanbehzadeh Mitra Rahimi Azamossadat Hosseini Shahin Shadnia Sina Salari
Cited by: Health Informatics Health Information Management Radiology, Nuclear Medicine and Imaging
Journals: SHILAP Revista de lepidopterología (1 paper)Scientific Reports (3 papers)Toxicology (1 paper)
Partner nations: Iran Canada Nigeria

In The Last Decade

Mohammad Reza Afrash

24 papers receiving 254 citations

Hit Papers

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Peers

Countries citing papers authored by Mohammad Reza Afrash

Since Specialization

Citations

This map shows the geographic impact of Mohammad Reza Afrash's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad Reza Afrash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Reza Afrash more than expected).

Fields of papers citing papers by Mohammad Reza Afrash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Reza Afrash. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad Reza Afrash. The network helps show where Mohammad Reza Afrash may publish in the future.

Co-authorship network

The 22 scholars most cited alongside Mohammad Reza Afrash, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Reza Afrash Line = papers co-authored together Mohammad Reza Afrash links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Predicting ICU Stay Duration for Hemodialysis Patients with Poisoning: A Study Comparing Deep Learning with Machine Learning Models Bakirkoy Tip Dergisi / Medical Journal of Bakirkoy ·Khadijeh Moulaei,Shahin Shadnia,Mohammad Reza Afrash,Babak Mostafazadeh,Heliya Rafsanjani,Peyman Erfan Talab Evini,Mona Sharifi,Mohadeseh Sarbaz Bardsiri,Hadi Kazemi-Arpanahi,Babak Sabet,Mohammad Parvin,Vahideh Montazeri,Amir Hossein Daeechini,Mitra Rahimi	2025	0
2	Predicting and classifying type 2 diabetes using a transparent ensemble model combining random forest, k-nearest neighbor, and neural networks Scientific Reports ·Niloufar Zaferani,Mohammad Reza Afrash,Khadijeh Moulaei	2025	0
3	Telemidwifery: A scoping review on applications, advantages and obstacles Midwifery ·Khadijeh Moulaei,Pershia Davoodi Karsalari,Atousa Moghadam Fard,Reihaneh Shahmoradi Pour,Reza Moulaei,Babak Sabet,Mohammad Reza Afrash	2025	0
4	Exploring tele-speech therapy: A scoping review of interventions, applications, benefits, and challenges International Journal of Medical Informatics ·Khadijeh Moulaei,Fatemeh Dinari,Mobina Hosseini,Sohrab Almasi,Babak Sabet,Romina Anabestani,Mohammad Reza Afrash	2025	0
5	Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models Scientific Reports ·Khadijeh Moulaei,Lida Afshari,Reza Moulaei,Babak Sabet,Seyed Mohammad Mousavi,Mohammad Reza Afrash	2024	6
6	Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applicationsbreakdown → International Journal of Medical Informatics ·Khadijeh Moulaei,Atiye Yadegari,Mahdi Baharestani,Shayan Farzanbakhsh,Babak Sabet,Mohammad Reza Afrash	2024	79
7	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 BMC Health Services Research ·Razieh Mirzaeian,Mohsen Shafiee,Mohammad Reza Afrash,Hadi Kazemi-Arpanahi	2024	0
8	Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models Scientific Reports ·Khadijeh Moulaei,Mohammad Reza Afrash,Mohammad Parvin,Shahin Shadnia,Mitra Rahimi,Babak Mostafazadeh,Peyman Erfan Talab Evini,Babak Sabet,Seyed Mohammad Vahabi,Amirali Soheili,Mobin Fathy,Arya Kazemi,Sina Khani,Seyed Mohammad Javad Mortazavi,Sayed Masoud Hosseini	2024	13
9	A national platform for advancing self-care processes for the most common illnesses and conditions: designing, evaluating, and implementing BMC Medical Informatics and Decision Making ·Khadijeh Moulaei,S.H. Salehi,Masoud Shahabian,Babak Sabet,Farshid Rezaei,Adrina Habibzadeh,Mohammad Reza Afrash	2024	0
10	Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms BMC Medical Informatics and Decision Making ·Mitra Rahimi,Mohammad Reza Afrash,Shahin Shadnia,Babak Mostafazadeh,Peyman Erfan Talab Evini,Mohadeseh Sarbaz Bardsiri,Maral Ramezani	2024	3
11	Application of artificial intelligence in chronic myeloid leukemia (CML) disease prediction and management: a scoping review BMC Cancer ·Malihe Ram,Mohammad Reza Afrash,Khadijeh Moulaei,Mohammad Parvin,Erfan Esmaeeli,Zahra Karbasi,Soroush Heydari,Azam Sabahi	2024	13
12	Prediction of acute organophosphate poisoning severity using machine learning techniques Toxicology ·Sayed Masoud Hosseini,Mitra Rahimi,Mohammad Reza Afrash,Pardis ZIAEEFAR,Parsa Yousefzadeh,Sanaz Pashapour,Peyman Erfan Talab Evini,Babak Mostafazadeh,Shahin Shadnia	2023	10
13	Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors BMC Gastroenterology ·Mohammad Reza Afrash,Mohsen Shafiee,Hadi Kazemi-Arpanahi	2023	29
14	Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study BMC Medical Informatics and Decision Making ·Mohammad Reza Afrash,Esmat Mirbagheri,Mehrnaz Mashoufi,Hadi Kazemi-Arpanahi	2023	18
15	Predicting Risk of Mortality in COVID-19 Hospitalized Patients using Hybrid Machine Learning Algorithms Journal of Biomedical Physics and Engineering ·Mohammad Reza Afrash,Mostafa Shanbehzadeh,Hadi Kazemi-Arpanahi	2022	3
16	Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia BMC Medical Informatics and Decision Making ·Mostafa Shanbehzadeh,Mohammad Reza Afrash,Nader Mirani,Hadi Kazemi-Arpanahi	2022	20
17	Predicting hospital readmission risk in patients with COVID-19: A machine learning approach Informatics in Medicine Unlocked ·Mohammad Reza Afrash,Hadi Kazemi-Arpanahi,Mostafa Shanbehzadeh,Raoof Nopour,Esmat Mirbagheri	2022	20
18	Developing the breast cancer risk prediction system using hybrid machine learning algorithms Journal of Education and Health Promotion ·Mohammad Reza Afrash,Azadeh Bayani,Mostafa Shanbehzadeh,Mohammadkarim Bahadori,Hadi Kazemi-Arpanahi	2022	3
19	A comparison of data mining methods for diagnosis and prognosis of heart disease International Journal of Advanced Intelligence Paradigms ·Mohammad Reza Afrash,Mehdi Khalili,Maral Sedigh Salekde	2020	5
20	A comparison of data mining methods for diagnosis and prognosis of heart disease International Journal of Advanced Intelligence Paradigms ·Mehdi Khalili,Maral Sedigh Salekde,Mohammad Reza Afrash	2020	1

About Mohammad Reza Afrash

Mohammad Reza Afrash is a scholar working on Health Information Management, Health Informatics and Geriatrics and Gerontology, having authored 31 papers that have together received 259 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (9 papers), Machine Learning in Healthcare (5 papers), COVID-19 diagnosis using AI (5 papers), COVID-19 Clinical Research Studies (3 papers), Acute Ischemic Stroke Management (3 papers), Gastric Cancer Management and Outcomes (3 papers), Mobile Health and mHealth Applications (3 papers) and Chronic Disease Management Strategies (2 papers). The work is most often cited by research in Health Informatics (65 citations), Health Information Management (35 citations) and Radiology, Nuclear Medicine and Imaging (60 citations). Mohammad Reza Afrash has collaborated with scholars based in Iran, Canada and Nigeria. Frequent co-authors include Hadi Kazemi-Arpanahi, Khadijeh Moulaei, Babak Sabet, Mostafa Shanbehzadeh, Mitra Rahimi, Azamossadat Hosseini, Shahin Shadnia, Sina Salari, Babak Mostafazadeh and Reza Rabiei. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Toxicology.

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