Mohammadtaghi Sareban Hassanabadi (Mohammadtaghi Sarebanhassanabadi)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Left Ventricular

Coronary Artery Disease

Machine Learning

Top Venues

Cardiovascular diabetology

BMC cardiovascular disorders

Health science reports

Turkish journal of obstetrics and gynecology

This page only lists publications with an associated author ORCID identifier.

Publications

Sedighe Sadeghi, Mojtaba Jokar, Seyed Mostafa Seyed Hossieni Tezerjani, Hasan Haghaninejad, Elahe Zare, Mahmood Emami Meybodi, Mohammadtaghi Sareban Hassanabadi, Masoud Mirzaei, Hamid Reza Mohammadi, Forough Sadat Tabatabaei
Electrocardiography changes and different stages of heart failure in central Iran: A cross-sectional study from Yazd Health Study. Health science reports 7 (4) (2024)
Seyed Reza Mirjalili, Sepideh Soltani, Zahra Heidari Meybodi, Pedro Marques-Vidal, Danial Dehghani Firouzabadi, Reza Eshraghi, David Restrepo, Hamed Ghoshouni, Mohammadtaghi Sareban Hassanabadi
Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach. Cardiovascular diabetology 23 (1) (2024)
Mohammadtaghi Sareban Hassanabadi, Seyed Reza Mirjalili, Pedro Marques-Vidal, Alexander Kraemer, Seyedeh Mahdieh Namayandeh
Coronary artery disease incidence, risk factors, awareness, and medication utilization in a 10-year cohort study. BMC cardiovascular disorders 24 (1) (2024)
Mohammadtaghi Sareban Hassanabadi, Seyed Reza Mirjalili, Pedro Marques-Vidal, Alexander Kraemer, Seyedeh Mahdieh Namayandeh
Coronary artery disease incidence, risk factors, awareness, and medication utilization in a 10-year cohort study. BMC cardiovascular disorders 24 (1) (2024)
Seyed Reza Mirjalili, Sepideh Soltani, Zahra Heidari Meybodi, Pedro Marques-Vidal, Danial Dehghani Firouzabadi, Reza Eshraghi, David Restrepo, Hamed Ghoshouni, Mohammadtaghi Sareban Hassanabadi
Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach. Cardiovascular diabetology 23 (1) (2024)
Sedighe Sadeghi, Mojtaba Jokar, Seyed Mostafa Seyed Hossieni Tezerjani, Hasan Haghaninejad, Elahe Zare, Mahmood Emami Meybodi, Mohammadtaghi Sareban Hassanabadi, Masoud Mirzaei, Hamid Reza Mohammadi, Forough Sadat Tabatabaei
Electrocardiography changes and different stages of heart failure in central Iran: A cross-sectional study from Yazd Health Study. Health science reports 7 (4) (2024)
Mohammadtaghi Sareban Hassanabadi, Seyed Reza Mirjalili, Pedro Marques-Vidal, Alexander Kraemer, Seyedeh Mahdieh Namayandeh
Coronary artery disease incidence, risk factors, awareness, and medication utilization in a 10-year cohort study. BMC cardiovascular disorders 24 (1) (2024)
Seyed Reza Mirjalili, Sepideh Soltani, Zahra Heidari Meybodi, Pedro Marques-Vidal, Danial Dehghani Firouzabadi, Reza Eshraghi, David Restrepo, Hamed Ghoshouni, Mohammadtaghi Sareban Hassanabadi
Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach. Cardiovascular diabetology 23 (1) (2024)
Seyed Reza Mirjalili, Sepideh Soltani, Zahra Heidari Meybodi, Pedro Marques-Vidal, Alexander Kraemer, Mohammadtaghi Sareban Hassanabadi
An innovative model for predicting coronary heart disease using triglyceride-glucose index: a machine learning-based cohort study. Cardiovascular diabetology 22 (1) (2023)
Mohammad Reza Alipour, Zohreh Pezeshkpour, Seyedeh Mahdieh Namayandeh, Mohammadtaghi Sareban Hassanabadi
Pulmonary arterial pressure in at-term in vitro fertilization neonates: A cross-sectional study. Turkish journal of obstetrics and gynecology 17 (2) (2020)