Machine learning-based Diagnostic model for determining the etiology of pleural effusion using Age, ADA and LDH

Machine learning-based Diagnostic model for determining the etiology of pleural effusion using Age, ADA and LDH

Abstract Background Classification of the etiologies of pleural effusion is a critical challenge in clinical practice. Traditional diagnostic methods rely on a simple cut-off method based on the laboratory tests. However, machine learning (ML) offers a novel approach based on artificial intelligence...

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Bibliographic Details
Main Authors: Qing-Yu Chen, Shu-Min Yin, Ming-Ming Shao, Feng-Shuang Yi, Huan-Zhong Shi
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Respiratory Research
Subjects:
Pleural effusion
Machine learning
Diagnostic model
Adenosine deaminase
Online Access:https://doi.org/10.1186/s12931-025-03253-2
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https://doi.org/10.1186/s12931-025-03253-2

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