Early Prediction of Cardiogenic Shock Using Machine Learning

Early Prediction of Cardiogenic Shock Using Machine Learning

Cardiogenic shock (CS) is a severe condition with in-hospital mortality of up to 50%. Patients who develop CS may have previous cardiac history, but that may not always be the case, adding to the challenges in optimally identifying and managing these patients. Patients may present to a medical facil...

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Bibliographic Details
Main Authors: Yale Chang, Corneliu Antonescu, Shreyas Ravindranath, Junzi Dong, Mingyu Lu, Francesco Vicario, Lisa Wondrely, Pam Thompson, Dennis Swearingen, Deepak Acharya
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
cardiogenic shock
machine learning
electronic health records
early warning system
clinical decision support
subpopulation analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.862424/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2022.862424/full

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