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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Autores principales:	Yin-Ting Lin, Ko-Ming Lin, Kai-Hsiang Wu, Frank Lien
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	BMC 2024-05-01
Colección:	BMC Medical Informatics and Decision Making
Materias:	Pneumonia CURB-65 Machine learning Blood count Differential count Blood Culture Prediction Index (BCPI) model
Acceso en línea:	https://doi.org/10.1186/s12911-024-02523-1
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