Artificial intelligence based prediction model of in-hospital mortality among females with acute coronary syndrome: for the Jerusalem Platelets Thrombosis and Intervention in Cardiology (JUPITER-12) Study Group

Artificial intelligence based prediction model of in-hospital mortality among females with acute coronary syndrome: for the Jerusalem Platelets Thrombosis and Intervention in Cardiology (JUPITER-12) Study Group

IntroductionDespite ongoing efforts to minimize sex bias in diagnosis and treatment of acute coronary syndrome (ACS), data still shows outcomes differences between sexes including higher risk of all-cause mortality rate among females. Hence, the aim of the current study was to examine sex difference...

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Bibliographic Details
Main Authors: Ranel Loutati, Nimrod Perel, David Marmor, Tommer Maller, Louay Taha, Itshak Amsalem, Rafael Hitter, Manassra Mohammed, Nir Levi, Maayan Shrem, Motaz Amro, Mony Shuvy, Michael Glikson, Elad Asher
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
artificial intelligence
machine learning
ACS
sex disparities
in-hospital mortality
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1333252/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2024.1333252/full

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