Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory research

Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory research

Abstract Background Ventilator-associated pneumonia (VAP) is a significant cause of mortality in the intensive care unit. Early diagnosis of VAP is important to provide appropriate treatment and reduce mortality. Developing a noninvasive and highly accurate diagnostic method is important. The invent...

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Bibliographic Details
Main Authors: Chung-Yu Chen, Wei-Chi Lin, Hsiao-Yu Yang
Format: Article
Language:English
Published: BMC 2020-02-01
Series:Respiratory Research
Subjects:
Electronic nose
Breath test
Machine learning
Ventilator-associated pneumonia
Volatile organic compounds
Online Access:https://doi.org/10.1186/s12931-020-1285-6

Internet

https://doi.org/10.1186/s12931-020-1285-6

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