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Maryam Farhadian

Showing results (1-10 of 168) with videos related to

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BMC Medical Research Methodology|April 22, 2023
Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithmsRoghayyeh Hassanzadeh, Maryam Farhadian, Hassan Rafieemehr
Medical Journal of the Islamic Republic of Iran|August 14, 2023
Evaluation of the Relationship between Family History and Occurrence, Anatomical Location, and Extent of Coronary Artery Disease among Patients Undergoing Coronary AngiographyVahid Ashrafi, Amirhossein Yazdi, Maryam Farhadian
BMC Sports Science, Medicine & Rehabilitation|December 9, 2020
Random forest algorithm to identify factors associated with sports-related dental injuries in 6 to 13-year-old athlete children in Hamadan, Iran-2018 -a cross-sectional studyMaryam Farhadian, Sima Torkaman, Farzad Mojarad
Iranian Journal of Public Health|August 23, 2013
Mapping the obesity in iran by bayesian spatial modelMaryam Farhadian, Abbas Moghimbeigi, Mohsen Aliabadi
Indian Journal of Occupational and Environmental Medicine|October 27, 2015
Empirical estimation of the grades of hearing impairment among industrial workers based on new artificial neural networks and classical regression methodsMaryam Farhadian, Mohsen Aliabadi, Ebrahim Darvishi
Maedica|October 8, 2021
Anatomical Variations of the Mandibular Symphysis in a Normal Occlusion Population Using Cone-Beam Computed TomographyFatemeh Salemi, Maryam Farhadian, Mohammad Ebrahimi
BMC Research Notes|July 15, 2020
A decision support system based on support vector machine for diagnosis of periodontal diseaseMaryam Farhadian, Parisa Shokouhi, Parviz Torkzaban
American Journal of Neurodegenerative Disease|July 18, 2024
Evaluation of willingness to obtain of Covid 19 vaccine in patients with multiple sclerosisMasoud Ghiasian, Maryam Farhadian, Alireza Salehzadeh
International Archives of Occupational and Environmental Health|November 30, 2014
Prediction of hearing loss among the noise-exposed workers in a steel factory using artificial intelligence approachMohsen Aliabadi, Maryam Farhadian, Ebrahim Darvishi
Frontiers in Dentistry|August 15, 2022
In Vitro Comparison of Marginal and Internal Fit of Zirconia Copings Fabricated by One CAD/CAM System with Two Different ScannersZahra Khamverdi, Elmira Najafrad, Maryam Farhadian
Pageof 17

Showing results (1-10 of 168) with videos related to

Sort By:
Pageof 17
BMC Medical Research Methodology|April 22, 2023
Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithmsRoghayyeh Hassanzadeh, Maryam Farhadian, Hassan Rafieemehr
Medical Journal of the Islamic Republic of Iran|August 14, 2023
Evaluation of the Relationship between Family History and Occurrence, Anatomical Location, and Extent of Coronary Artery Disease among Patients Undergoing Coronary AngiographyVahid Ashrafi, Amirhossein Yazdi, Maryam Farhadian
BMC Sports Science, Medicine & Rehabilitation|December 9, 2020
Random forest algorithm to identify factors associated with sports-related dental injuries in 6 to 13-year-old athlete children in Hamadan, Iran-2018 -a cross-sectional studyMaryam Farhadian, Sima Torkaman, Farzad Mojarad
Iranian Journal of Public Health|August 23, 2013
Mapping the obesity in iran by bayesian spatial modelMaryam Farhadian, Abbas Moghimbeigi, Mohsen Aliabadi
Indian Journal of Occupational and Environmental Medicine|October 27, 2015
Empirical estimation of the grades of hearing impairment among industrial workers based on new artificial neural networks and classical regression methodsMaryam Farhadian, Mohsen Aliabadi, Ebrahim Darvishi
Maedica|October 8, 2021
Anatomical Variations of the Mandibular Symphysis in a Normal Occlusion Population Using Cone-Beam Computed TomographyFatemeh Salemi, Maryam Farhadian, Mohammad Ebrahimi
BMC Research Notes|July 15, 2020
A decision support system based on support vector machine for diagnosis of periodontal diseaseMaryam Farhadian, Parisa Shokouhi, Parviz Torkzaban
American Journal of Neurodegenerative Disease|July 18, 2024
Evaluation of willingness to obtain of Covid 19 vaccine in patients with multiple sclerosisMasoud Ghiasian, Maryam Farhadian, Alireza Salehzadeh
International Archives of Occupational and Environmental Health|November 30, 2014
Prediction of hearing loss among the noise-exposed workers in a steel factory using artificial intelligence approachMohsen Aliabadi, Maryam Farhadian, Ebrahim Darvishi
Frontiers in Dentistry|August 15, 2022
In Vitro Comparison of Marginal and Internal Fit of Zirconia Copings Fabricated by One CAD/CAM System with Two Different ScannersZahra Khamverdi, Elmira Najafrad, Maryam Farhadian
Pageof 17