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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...
Autores principales: | Gratz, Irwin, Baruch, Martin, Takla, Magdy, Seaman, Julia, Allen, Isabel, McEniry, Brian, Deal, Edward |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
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 |
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