Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach

Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach

Community-acquired pneumonia (CAP) is associated with high mortality, and accurate diagnosis and risk prediction are essential for improving patient outcomes. Traditional diagnostic methods have limitations, prompting the use of machine learning (ML) to enhance diagnostic precision and treatment s...

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Bibliographic Details
Main Authors: Alaa Ali, Ahmad R. Alsayed, Nesrin Seder, Yazun Jarrar, Raed H. Altabanjeh, Mamoon Zihlif, Osama Abu Ata, Anas Samara, Malek Zihlif
Format: Article
Language:English
Published: Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina 2025-07-01
Series:Biomolecules & Biomedicine
Subjects:
Community-acquired pneumonia
CAP
machine learning
ML
mortality prediction
risk assessment
Online Access:https://www.bjbms.org/ojs/index.php/bjbms/article/view/12378
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