Journal Papers

    1. Amirreza Gholami, Mostafa Langarizadeh, Azin Nahvijou, Mohammadjavad Sayadi, A machine learning approach for mortality risk prediction of hospitalized COVID-19 patients with diabetes,
    2. Farajollahi B, Sayadi M, Abdolkarimi B, Tabibian S, Sadeghi M, Sheikhtaheri A. Minimum dataset for the development of the National Haemophilia Registry. Health Information Management Journal. 2025;0(0). doi:10.1177/18333583251389777

    3. Sayadi M, Torabinezhad F, Bayazian G, Abedian S. How Neurological Disorders Affect Acoustic Features of Speech? A Data Mining Approach. Adv Med Inform [Internet]. 2025 Jun. 25 [cited 2025 Nov. 30];1:7

    4. Farajollahi, B., Sayadi, M., Langarizadeh, M. et al. Presenting a prediction model for HELLP syndrome through data mining. BMC Med Inform Decis Mak 25, 135 (2025). https://doi.org/10.1186/s12911-025-02904-0

    5. Sadeghi, M., Langarizadeh, M., Olang, B. et al. Determining the minimum data elements to develop a child malnutrition registry system. BMC Med Inform Decis Mak 24, 411 (2024). https://doi.org/10.1186/s12911-024-02771-1

    6. Sadeghi Malihe, Bayati Baran, Kazemi Azar, Tajvidi Asr Rahime, Sayadi Mohammadjavad. A Survival Prediction Model of Self-Immolation Based on Machine Learning Techniques. Advanced Biomedical Research 13(1):55, July 2024. | DOI: 10.4103/abr.abr_340_23

    7. Mohammadjavad Sayadi, Mostafa Langarizadeh, Farhad Torabinezhad, & Gholamreza Bayazian. “Voice as an Indicator for Laryngeal Disorders Using Data Mining Approach.” Frontiers in Health Informatics [Online], 13 (2024): 205. Web. 3 May. 2024Mohammadjavad Sayadi, Ahmadali Sadeghian Yazdeli, Hanieh Asaadi Vaskas, & Malihe Sadeghi. “A Systematic Review on Machine Learning Algorithms to Predict the Length of Stay for COVID-19 Patients.” Frontiers in Health Informatics [Online], 12 (2023): 174. Web. 3 May. 2024
    8. Elahe Rashidi, Mostafa Langarizadeh, Mohammadjavad Sayadi, Mohsen Sarkarian, Machine Learning Models for Predicting the Type and Outcome of Ureteral Stones Treatments, Advanced Biomedical Research 12(1):234, October 2023. | DOI: 10.4103/abr.abr_121_23
    9. Mostafa Langarizadeh, Pakzad Rahmati, Shahram Yousefpour Azari, Fatemeh Sarpourian, Mohammadjavad Sayadi, Mohammad Hossein Langarizadeh, Seyed Ali Fatemi Aghda, Identifying and validating the educational needs to develop a Celiac Self-Care System. BMC Prim. Care 24, 121 (2023). https://doi.org/10.1186/s12875-023-02076-8
    10. Mohammadjavad Sayadi, Vijayakumar Varadarajan, Elahe Gozali, Malihe Sadeghi, Effective Factors in Diagnosing the Degree of Hepatitis C Using Machine Learning‏, Frontiers in Health Informatics, 2023.
    11. Jafari T, Nasiri S, Sayadi M, Emami H, Mohammadpour S. A Neonatal jaundice prediction system based on the support vector machine algorithm. JHA 2023; 25 (4) :28-44
    12. Sayadi, M.; Varadarajan, V.; Langarizadeh, M.; Bayazian, G.; Torabinezhad, F. A Systematic Review on Machine Learning Techniques for Early Detection of Mental, Neurological and Laryngeal Disorders Using Patient’s Speech. Electronics 2022, 11, 4235. https://doi.org/10.3390/electronics11244235.
    13. Sayadi, M.; Varadarajan, V.; Sadoughi, F.; Chopannejad, S.; Langarizadeh, M. A Machine Learning Model for Detection of Coronary Artery Disease Using Noninvasive Clinical Parameters. Life 2022, 12, 1933. https://doi.org/10.3390/life12111933.
    14. Mostafa Langarizadeh, Mohammadjavad Sayadi, Machine Learning Techniques for Diagnosis of Lower Gastrointestinal Cancer: A Systematic Review, Iranian Red Crescent Medical Journal, 2021; 23(7): 10.
    15. B. Farajollahi, M. Mehmannavaz, H. Mehrjoo, F. Moghbeli, M J. Sayadi, Predicting Hospital Readmission of Diabetic Patients Using Machine Learning, Frontiers in Health Informatics, 2021.
    16. B. Farajollahi, M. Mehmannavaz, H. Mehrjoo, F. Moghbeli, M J. Sayadi, Diabetes Diagnosis Using Machine Learning, Frontiers in Health Informatics, 2021.
    17. M J. Sayadi, F. Moghbeli, H. Mehrjoo, M. Mahaki, A Linear Study of the Spread of COVID19 in China and Iran, Frontiers in Health Informatics, 2020.
    18. M J. Sayadi, J S. Rodrigez, J J. Olmos, I T. Monroy,  Latency and Bit-Error-Rate Evaluation for Radio-over-Ethernet in Optical Fiber Front-haul Networks, Journal of Optical Switching and Networking, January 2018, 27, 88-92.
    19. M J. Sayadi, Radio over Ethernet (RoE), architecture and protocol considerations, Iranian Journal of  Medical Informatics, 2019; 8(1): e6.
    20. B. Noraeinezhad, S. Moradi , M. Shiri, M J. Sayadi, Improvement of Epidemic Routing Algorithm Using Nodes Movement Direction Data in Delay Tolerant Networks, International Journal of Scientific Engineering and Technology, Volume No.5 Issue No.5, pp: 287-289, May 2016.
    21. B.Nooraeinezhad, S. Moradi , M J. Sayadi, “Improving the Epidemic routing algorithm in Delay Tolerant Networks by using the geographic information of nodes”, 10s Symposium on advances in science and technology(SASTech) , November 2015.
    22. M J. Sayadi, M.Fathy, L. Mahaki: Improve the Quality of Service in the VANET by Detecting and Removing Unused Pachets: International Journal of Information and Communication Technology. November 2012.
    23. M J. Sayadi, M.Fathy:A New Approach in Packet Scheduling In The VANET, International Journal of Ad hoc, Sensor & Ubiquitous Computing ( IJASUC ), Volume 1, Number 3, 122-128, September 2010.
    24. Langarizadeh, M J. Sayadi, F. Moghbeli, COVID-19 diagnosis model using lung CT-scans based on Deep Learning, 5th International Conference on Health, Treatment and Health Promotion, February 2021.
    25. Jostojoo, M J. Sayadi: Effective factors on developing of ELearning in undeveloped provinces in Iran, The 2011 First CSUT Conference on Computer, Communication and Information Technologies (CSCCIT): November 2011.
    26. Sayadi, M.Fathy: Packet Scheduling in the VANET Using Multi Level Queue. ICWN 2009: 447-451

       Conference Papers

  1. Langarizadeh, M J. Sayadi, F. Moghbeli, COVID-19 diagnosis model using lung CT-scans based on Deep Learning, 5th International Conference on Health, Treatment and Health Promotion, February 2021.
  2. Jostojoo, M J. Sayadi: Effective factors on developing of ELearning in undeveloped provinces in Iran, The 2011 First CSUT Conference on Computer, Communication and Information Technologies (CSCCIT): November 2011.
  3. Sayadi, M.Fathy: Packet Scheduling in the VANET Using Multi Level Queue. ICWN 2009: 447-451.

 Book

  1. Biomedical Informatics, computer applications in healthcare and biomedicine, 5th edition, 2021.
  2. Health Informatics Research Methods: Principles and Practice, 2nd edition, 2021.
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