Machine Learning for Prediction of Outcomes in Cardiogenic Shock

ObjectiveThe management of cardiogenic shock (CS) in the elderly remains a major clinical challenge. Existing clinical prediction models have not performed well in assessing the prognosis of elderly patients with CS. This study aims to build a predictive model, which could better predict the 30-day...

Full description

Bibliographic Details
Main Authors: Fangning Rong, Huaqiang Xiang, Lu Qian, Yangjing Xue, Kangting Ji, Ripen Yin
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.849688/full