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Yaser Mehrali

Showing results (1-10 of 4) with videos related to

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BMC Medical Research Methodology|January 7, 2026
Innovative statistical method for longitudinal and hierarchical data modeling: the GMEXGBoost methodFariba Asadi, Reza Homayounfar, Yaser Mehrali, et al.
Archives of Iranian Medicine|May 1, 2024
Identifying Risk Indicators of Cardiovascular Disease in Fasa Cohort Study (FACS): An Application of Generalized Linear Mixed-Model TreeFariba Asadi, Reza Homayounfar, Mojtaba Farjam, et al.
Scientific Reports|September 27, 2024
Detection of cardiovascular disease cases using advanced tree-based machine learning algorithmsFariba Asadi, Reza Homayounfar, Yaser Mehrali, et al.
Scientific Reports|November 21, 2025
Application of generalized linear mixed effects random forest for identifying risk factors of prediabetes in Tehran Lipid and Glucose StudyMaryam Karimi Ghahfarokhi, Farid Zayeri, Davood Khalili, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
BMC Medical Research Methodology|January 7, 2026
Innovative statistical method for longitudinal and hierarchical data modeling: the GMEXGBoost methodFariba Asadi, Reza Homayounfar, Yaser Mehrali, et al.
Archives of Iranian Medicine|May 1, 2024
Identifying Risk Indicators of Cardiovascular Disease in Fasa Cohort Study (FACS): An Application of Generalized Linear Mixed-Model TreeFariba Asadi, Reza Homayounfar, Mojtaba Farjam, et al.
Scientific Reports|September 27, 2024
Detection of cardiovascular disease cases using advanced tree-based machine learning algorithmsFariba Asadi, Reza Homayounfar, Yaser Mehrali, et al.
Scientific Reports|November 21, 2025
Application of generalized linear mixed effects random forest for identifying risk factors of prediabetes in Tehran Lipid and Glucose StudyMaryam Karimi Ghahfarokhi, Farid Zayeri, Davood Khalili, et al.
Pageof 1