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Explainable machine learning and online calculators to predict heart failure mortality in intensive care units

Abstract Aims This study aims to develop explainable machine learning models and clinical tools for predicting mortality in patients in the intensive care unit (ICU) with heart failure (HF). Methods Patients diagnosed with HF who experienced their first ICU stay lasting between 24 h and 28 days were...

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Principais autores: An‐Tian Chen, Yuhui Zhang, Jian Zhang
פורמט: Artigo
שפה:Inglês
יצא לאור: Oxford University Press 2025-02-01
סדרה:ESC Heart Failure
נושאים:
heart failure
machine learning
nomogram
predictive model
גישה מקוונת:https://doi.org/10.1002/ehf2.15062
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