Development and comparison of machine learning-based models for predicting heart failure after acute myocardial infarction

Development and comparison of machine learning-based models for predicting heart failure after acute myocardial infarction

Abstract Aims Heart failure (HF) is one of the common adverse cardiovascular events after acute myocardial infarction (AMI), but the predictive efficacy of numerous machine learning (ML) built models is unclear. This study aimed to build an optimal model to predict the occurrence of HF in AMI patien...

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Bibliographic Details
Main Authors: Xuewen Li, Chengming Shang, Changyan Xu, Yiting Wang, Jiancheng Xu, Qi Zhou
Format: Article
Language:English
Published: BMC 2023-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Acute myocardial infarction
Heart failure
Machine learning
Extreme gradient boosting
Model
Online Access:https://doi.org/10.1186/s12911-023-02240-1

Internet

https://doi.org/10.1186/s12911-023-02240-1

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