Nasrallah Jahangard on Muck Rack

Nasrallah Jahangard

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Articles

Explainable artificial intelligence models in predicting major cardiovascular events: insights from the PolyIran and PolyPars prospective studies

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By Amir Ghafari, Sadaf G. Sepanlou, Gholamreza Roshandel, Fatemeh Malekzadeh, Maryam Sharafkhah, Amir Kasaeian, Aakriti Gupta, Shubhadarshini G. Pawar, Zahra Dehghanian, Amir Azimi Verified, Mohammad Aghaei, Akram Pourshams, Hossein Poustchi, Nasrallah Jahangard, Hamid R. Rabiee, Reza Malekzadeh
| Nature Verified
Abstract Cardiovascular diseases are among the leading causes of global mortality and morbidity, underscoring the need for accurate and explainable predictive models. This study aimed to develop and evaluate explainable AI models for predicting major cardiovascular events (MCVE) over 60 months. We conducted a secondary analysis of two large cohort studies nested within the Golestan (northeast Iran) and Pars (south Iran) Cohorts, which followed identical protocols.
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