Machine Learning for Community-Acquired Pneumonia Diagnosis Using Routine Clinical and Laboratory Data

Machine Learning for Community-Acquired Pneumonia Diagnosis Using Routine Clinical and Laboratory Data

Background: Community-acquired pneumonia (CAP) is diagnosed based on clinical information, laboratory tests, and chest imaging. However, chest radiography is often inaccessible in primary care, causing variability in clinical diagnosis. This study aims to develop a machine learning model to diagnose...

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Bibliographic Details
Main Authors: Sung Yoon Lim, Eunhye Cho, Bokhee Jung, Jaeyeon Lee, Miyoung Kim, Sooyoung Yoo, Seyoung Jung, Joon Yhup Lee, Sejin Nam, Hyunju Lee, Eu Suk Kim
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Global Antimicrobial Resistance
Subjects:
Pneumonia
Diagnosis
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2213716524004090

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http://www.sciencedirect.com/science/article/pii/S2213716524004090

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