A machine learning-based risk stratification tool for in-hospital mortality of intensive care unit patients with heart failure
Abstract Background Predicting hospital mortality risk is essential for the care of heart failure patients, especially for those in intensive care units. Methods Using a novel machine learning algorithm, we constructed a risk stratification tool that correlated patients’ clinical features and in-hos...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2022-03-01
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Series: | Journal of Translational Medicine |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12967-022-03340-8 |