Machine learning model and hemoglobin to red cell distribution width ratio evaluates all-cause mortality in pulmonary embolism

Machine learning model and hemoglobin to red cell distribution width ratio evaluates all-cause mortality in pulmonary embolism

Abstract The ratio of hemoglobin (Hb) to red blood cell distribution width (RDW), known as HRR, functions as an innovative indicator related to prognosis. However, whether HRR can predict the mortality for pulmonary embolism (PE) patients remains ambiguous. A retrospective cohort study was conducted...

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Bibliographic Details
Main Authors: Dan Du, Lei Zhang, Xue Wen, Xian-Ming Zhang, Ya-dong Yuan
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Pulmonary embolism
HRR
Machine learning
MIMIC-IV
Online Access:https://doi.org/10.1038/s41598-025-07431-6
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https://doi.org/10.1038/s41598-025-07431-6

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