© 2025 Mohammadjavad Sayadi. Created for free using WordPress and Kubio

Journal Papers

 

    1. 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
    2. 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
    3. Boshra Farajollahi, Mohammadjavad Sayadi, Mostafa Langarizadeh et al. Developing a prediction model for HELLP syndrome through data mining, 03 October 2023, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-3378977/v1].
    4. 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
    5. 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
    6. 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.
    7. 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
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. B. Farajollahi, M. Mehmannavaz, H. Mehrjoo, F. Moghbeli, M J. Sayadi, Diabetes Diagnosis Using Machine Learning, Frontiers in Health Informatics, 2021.
    13. 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.
    14. 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.
    15. M J. Sayadi, Radio over Ethernet (RoE), architecture and protocol considerations, Iranian Journal of  Medical Informatics, 2019; 8(1): e6.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.

© 2025 Mohammadjavad Sayadi. Created for free using WordPress and Kubio