Enhancing pneumonia prognosis in the emergency department: a novel machine learning approach using complete blood count and differential leukocyte count combined with CURB-65 score

Enhancing pneumonia prognosis in the emergency department: a novel machine learning approach using complete blood count and differential leukocyte count combined with CURB-65 score

Abstract Background Pneumonia poses a major global health challenge, necessitating accurate severity assessment tools. However, conventional scoring systems such as CURB-65 have inherent limitations. Machine learning (ML) offers a promising approach for prediction. We previously introduced the Blood...

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Bibliographic Details
Main Authors: Yin-Ting Lin, Ko-Ming Lin, Kai-Hsiang Wu, Frank Lien
Format: Article
Language:English
Published: BMC 2024-05-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Pneumonia
CURB-65
Machine learning
Blood count
Differential count
Blood Culture Prediction Index (BCPI) model
Online Access:https://doi.org/10.1186/s12911-024-02523-1

Internet

https://doi.org/10.1186/s12911-024-02523-1

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