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BMC Medical Informatics and Decision Making|April 16, 2024
Optimizing cardiovascular disease mortality prediction: a super learner approach in the tehran lipid and glucose studyParvaneh Darabi, Safoora Gharibzadeh, Davood Khalili, et al.
The Journal of Obstetrics and Gynaecology Research|July 25, 2017
Factors associated with the severity of premenstrual syndrome among Iranian college studentsMaryam Farahmand, Fahimeh Ramezani Tehrani, Davood Khalili, et al.
Scientific Reports|June 14, 2017
A new look at risk patterns related to coronary heart disease incidence using survival tree analysis: 12 Years Longitudinal StudyAzra Ramezankhani, Farideh Bagherzadeh-Khiabani, Davood Khalili, et al.
European Journal of Pediatrics|March 9, 2020
Is there any association between age at menarche and anthropometric indices? A 15-year follow-up population-based cohort studyMaryam Farahmand, Fahimeh Ramezani Tehrani, Davood Khalili, et al.
BMC Endocrine Disorders|August 5, 2021
Endogenous estrogen exposure and chronic kidney disease; a 15-year prospective cohort studyMaryam Farahmand, Fahimeh Ramezani Tehrani, Davood Khalili, et al.
International Journal of Endocrinology and Metabolism|October 21, 2016
Obesity Paradox and Recurrent Coronary Heart Disease in a Population-Based Study: Tehran Lipid and Glucose StudySamaneh Asgari, Maryam Barzin, Farhad Hosseinpanah, et al.
Scientific Reports|May 10, 2023
Development and validation of a continuous metabolic syndrome severity score in the Tehran Lipid and Glucose StudyMohammadjavad Honarvar, Safdar Masoumi, Ladan Mehran, 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.
Global Heart|February 27, 2023
The Trend of Risk for Cardiovascular Diseases During the Past Decade in Iran, Applying No-Lab and Lab-Based Prediction ModelsNoushin Fahimfar, Karim Kohansal, Samaneh Asgari, et al.
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