A Novel Composite Indicator of Predicting Mortality Risk for Heart Failure Patients With Diabetes Admitted to Intensive Care Unit Based on Machine Learning

A Novel Composite Indicator of Predicting Mortality Risk for Heart Failure Patients With Diabetes Admitted to Intensive Care Unit Based on Machine Learning

BackgroundPatients with heart failure (HF) with diabetes may face a poorer prognosis and higher mortality than patients with either disease alone, especially for those in intensive care unit. So far, there is no precise mortality risk prediction indicator for this kind of patient.MethodTwo high-qual...

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Bibliographic Details
Main Authors: Boshen Yang, Yuankang Zhu, Xia Lu, Chengxing Shen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Endocrinology
Subjects:
heart failure
diabetes
machine learning
hospital mortality
indicator
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.917838/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2022.917838/full

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