Machine Learning Methods Applied to Predict Ventilator-Associated Pneumonia with Pseudomonas aeruginosa Infection via Sensor Array of Electronic Nose in Intensive Care Unit

One concern to the patients is the off-line detection of pneumonia infection status after using the ventilator in the intensive care unit. Hence, machine learning methods for ventilator-associated pneumonia (VAP) rapid diagnose are proposed. A popular device, Cyranose 320 e-nose, is usually used in...

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Detalles Bibliográficos
Autores principales: Liao, Yu-Hsuan, Wang, Zhong-Chuang, Zhang, Fu-Gui, Abbod, Maysam F., Shih, Chung-Hung, Shieh, Jiann-Shing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514817/
https://www.ncbi.nlm.nih.gov/pubmed/31003541
http://dx.doi.org/10.3390/s19081866

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514817/
https://www.ncbi.nlm.nih.gov/pubmed/31003541
http://dx.doi.org/10.3390/s19081866

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