The application of a neural network to predict hypotension and vasopressor requirements non-invasively in obstetric patients having spinal anesthesia for elective cesarean section (C/S)

BACKGROUND: Neural networks are increasingly used to assess physiological processes or pathologies, as well as to predict the increased likelihood of an impending medical crisis, such as hypotension. METHOD: We compared the capabilities of a single hidden layer neural network of 12 nodes to those of...

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Detalles Bibliográficos
Autores principales: Gratz, Irwin, Baruch, Martin, Takla, Magdy, Seaman, Julia, Allen, Isabel, McEniry, Brian, Deal, Edward
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195764/
https://www.ncbi.nlm.nih.gov/pubmed/32357833
http://dx.doi.org/10.1186/s12871-020-01015-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195764/
https://www.ncbi.nlm.nih.gov/pubmed/32357833
http://dx.doi.org/10.1186/s12871-020-01015-9

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