The development of a novel natural language processing tool to identify pediatric chest radiograph reports with pneumonia

The development of a novel natural language processing tool to identify pediatric chest radiograph reports with pneumonia

ObjectiveChest radiographs are frequently used to diagnose community-acquired pneumonia (CAP) for children in the acute care setting. Natural language processing (NLP)-based tools may be incorporated into the electronic health record and combined with other clinical data to develop meaningful clinic...

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Bibliographic Details
Main Authors: Nancy Rixe, Adam Frisch, Zhendong Wang, Judith M. Martin, Srinivasan Suresh, Todd A. Florin, Sriram Ramgopal
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Digital Health
Subjects:
chest radiograph
clinical decision support
machine learning
natural language processing
pediatric
pneumonia
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2023.1104604/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2023.1104604/full

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