Identifying Patient–Ventilator Asynchrony on a Small Dataset Using Image-Based Transfer Learning

Mechanical ventilation is an essential life-support treatment for patients who cannot breathe independently. Patient–ventilator asynchrony (PVA) occurs when ventilatory support does not match the needs of the patient and is associated with a series of adverse clinical outcomes. Deep learning methods...

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Detalles Bibliográficos
Autores principales: Pan, Qing, Jia, Mengzhe, Liu, Qijie, Zhang, Lingwei, Pan, Jie, Lu, Fei, Zhang, Zhongheng, Fang, Luping, Ge, Huiqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235356/
https://www.ncbi.nlm.nih.gov/pubmed/34204238
http://dx.doi.org/10.3390/s21124149

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235356/
https://www.ncbi.nlm.nih.gov/pubmed/34204238
http://dx.doi.org/10.3390/s21124149

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