Harnessing artificial intelligence for early prediction of cardiogenic shock and mortality in acute coronary syndrome patients

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Bibliographic Details
Main Author: John Patrick C. Toledo
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:International Journal of Cardiology. Cardiovascular Risk and Prevention
Online Access:http://www.sciencedirect.com/science/article/pii/S2772487525000868
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author John Patrick C. Toledo
author_facet John Patrick C. Toledo
author_sort John Patrick C. Toledo
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series International Journal of Cardiology. Cardiovascular Risk and Prevention
spelling doaj-art-fd3c50430db646e4a2d30cc374a513452025-08-24T05:15:18ZengElsevierInternational Journal of Cardiology. Cardiovascular Risk and Prevention2772-48752025-09-012620044810.1016/j.ijcrp.2025.200448Harnessing artificial intelligence for early prediction of cardiogenic shock and mortality in acute coronary syndrome patientsJohn Patrick C. Toledo0Department of Theology and Religious Education, De La Salle University, 2401 Taft Avenue, 1004, Manila, Philippineshttp://www.sciencedirect.com/science/article/pii/S2772487525000868
spellingShingle John Patrick C. Toledo
Harnessing artificial intelligence for early prediction of cardiogenic shock and mortality in acute coronary syndrome patients
International Journal of Cardiology. Cardiovascular Risk and Prevention
title Harnessing artificial intelligence for early prediction of cardiogenic shock and mortality in acute coronary syndrome patients
title_full Harnessing artificial intelligence for early prediction of cardiogenic shock and mortality in acute coronary syndrome patients
title_fullStr Harnessing artificial intelligence for early prediction of cardiogenic shock and mortality in acute coronary syndrome patients
title_full_unstemmed Harnessing artificial intelligence for early prediction of cardiogenic shock and mortality in acute coronary syndrome patients
title_short Harnessing artificial intelligence for early prediction of cardiogenic shock and mortality in acute coronary syndrome patients
title_sort harnessing artificial intelligence for early prediction of cardiogenic shock and mortality in acute coronary syndrome patients
url http://www.sciencedirect.com/science/article/pii/S2772487525000868
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