Development and validation of a machine learning-based readmission risk prediction model for non-ST elevation myocardial infarction patients after percutaneous coronary intervention

Development and validation of a machine learning-based readmission risk prediction model for non-ST elevation myocardial infarction patients after percutaneous coronary intervention

Abstract To investigate the factors that influence readmissions in patients with acute non-ST elevation myocardial infarction (NSTEMI) after percutaneous coronary intervention (PCI) by using multiple machine learning (ML) methods to establish a predictive model. In this study, 1576 NSTEMI patients w...

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Bibliographic Details
Main Authors: Yanxu Liu, Linqin Du, Lan Li, Lijuan Xiong, Hao Luo, Eugene Kwaku, Xue Mei, Cong wen, Yang Yang Cui, Yang Zhou, Lang Zeng, Shikang Li, Kun Wang, Jiankang Zheng, Zonglian Liu, Houxiang Hu, Rongchuan Yue
Format: Article
Language:English
Published: Nature Portfolio 2024-06-01
Series:Scientific Reports
Subjects:
Non-ST elevation myocardial infarction
PCI
Readmissions
Prediction model
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-64048-x

Internet

https://doi.org/10.1038/s41598-024-64048-x

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