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Omid Pournik

Showing results (11-20 of 60) with videos related to

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Medicine|September 2, 2016
Classification-based data mining for identification of risk patterns associated with hypertension in Middle Eastern population: A 12-year longitudinal studyAzra Ramezankhani, Ali Kabir, Omid Pournik, et al.
Studies in Health Technology and Informatics|May 17, 2025
Transforming Healthcare: The Role of Artificial IntelligenceAzam Aslani, Omid Pournik, Saadullah Farooq Abbasi, et al.
Studies in Health Technology and Informatics|April 22, 2018
Reflection on Mobile Applications for Blood Pressure Management: A Systematic Review on Potential Effects and InitiativesReyhaneh Mohammadi, Movahhedeh Ayatolahi Tafti, Soodabeh Hoveidamanesh, et al.
Medical Journal of the Islamic Republic of Iran|February 14, 2015
A diagnostic model for cirrhosis in patients with non-alcoholic fatty liver disease: an artificial neural network approachOmid Pournik, Sara Dorri, Hedieh Zabolinezhad, et al.
Iranian Journal of Basic Medical Sciences|January 29, 2014
Designing a Human T-Lymphotropic Virus Type 1 (HTLV-I) Diagnostic Model using the Complete Blood CountMasoumeh Sarbaz, Omid Pournik, Leila Ghalichi, et al.
Studies in Health Technology and Informatics|July 1, 2025
Recent Advances in Generative Models for Synthetic Brain MRI Image GenerationXuefei Ding, Linxue Bai, Saadullah Farooq Abbasi, et al.
Medical Decision Making : an International Journal of the Society for Medical Decision Making|December 3, 2014
The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 DiabetesAzra Ramezankhani, Omid Pournik, Jamal Shahrabi, et al.
Archives of Iranian Medicine|May 12, 2015
Determinants of Self-Rated Health in Tehran, from Individual Characteristics towards Community-Level AttributesLeila Ghalichi, Saharnaz Nedjat, Reza Majdzadeh, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|May 11, 2022
Improving data adequacy of ultrasonography reports for non-alcoholic fatty liver disease (NAFLD) through a national structured templateSeyedeh Nahid Seyedhasani, Sara Dorri, Omid Pournik, et al.
Diabetes Research and Clinical Practice|August 3, 2014
Applying decision tree for identification of a low risk population for type 2 diabetes. Tehran Lipid and Glucose StudyAzra Ramezankhani, Omid Pournik, Jamal Shahrabi, et al.
Pageof 6

Showing results (11-20 of 60) with videos related to

Sort By:
Pageof 6
Medicine|September 2, 2016
Classification-based data mining for identification of risk patterns associated with hypertension in Middle Eastern population: A 12-year longitudinal studyAzra Ramezankhani, Ali Kabir, Omid Pournik, et al.
Studies in Health Technology and Informatics|May 17, 2025
Transforming Healthcare: The Role of Artificial IntelligenceAzam Aslani, Omid Pournik, Saadullah Farooq Abbasi, et al.
Studies in Health Technology and Informatics|April 22, 2018
Reflection on Mobile Applications for Blood Pressure Management: A Systematic Review on Potential Effects and InitiativesReyhaneh Mohammadi, Movahhedeh Ayatolahi Tafti, Soodabeh Hoveidamanesh, et al.
Medical Journal of the Islamic Republic of Iran|February 14, 2015
A diagnostic model for cirrhosis in patients with non-alcoholic fatty liver disease: an artificial neural network approachOmid Pournik, Sara Dorri, Hedieh Zabolinezhad, et al.
Iranian Journal of Basic Medical Sciences|January 29, 2014
Designing a Human T-Lymphotropic Virus Type 1 (HTLV-I) Diagnostic Model using the Complete Blood CountMasoumeh Sarbaz, Omid Pournik, Leila Ghalichi, et al.
Studies in Health Technology and Informatics|July 1, 2025
Recent Advances in Generative Models for Synthetic Brain MRI Image GenerationXuefei Ding, Linxue Bai, Saadullah Farooq Abbasi, et al.
Medical Decision Making : an International Journal of the Society for Medical Decision Making|December 3, 2014
The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 DiabetesAzra Ramezankhani, Omid Pournik, Jamal Shahrabi, et al.
Archives of Iranian Medicine|May 12, 2015
Determinants of Self-Rated Health in Tehran, from Individual Characteristics towards Community-Level AttributesLeila Ghalichi, Saharnaz Nedjat, Reza Majdzadeh, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|May 11, 2022
Improving data adequacy of ultrasonography reports for non-alcoholic fatty liver disease (NAFLD) through a national structured templateSeyedeh Nahid Seyedhasani, Sara Dorri, Omid Pournik, et al.
Diabetes Research and Clinical Practice|August 3, 2014
Applying decision tree for identification of a low risk population for type 2 diabetes. Tehran Lipid and Glucose StudyAzra Ramezankhani, Omid Pournik, Jamal Shahrabi, et al.
Pageof 6