Enhancing Pulmonary Embolism Mortality Risk Stratification Using Machine Learning: The Role of the Neutrophil-to-Lymphocyte Ratio

Enhancing Pulmonary Embolism Mortality Risk Stratification Using Machine Learning: The Role of the Neutrophil-to-Lymphocyte Ratio

(1) Background: Acute pulmonary embolism (PE) is a significant public health concern that requires efficient risk estimation to optimize patient care and resource allocation. The purpose of this retrospective study was to show the correlation of NLR (neutrophil-to-lymphocyte ratio) and PESI (pulmona...

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Bibliographic Details
Main Authors: Minodora Teodoru, Mihai Octavian Negrea, Andreea Cozgarea, Dragoș Cozma, Adrian Boicean
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Journal of Clinical Medicine
Subjects:
acute pulmonary embolism
neutrophil-to-lymphocyte ratio
in-hospital mortality
two-step cluster analysis
classification and regression trees
Online Access:https://www.mdpi.com/2077-0383/13/5/1191

Internet

https://www.mdpi.com/2077-0383/13/5/1191

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