Detecting central hypovolemia in simulated hypovolemic shock by automated feature extraction with principal component analysis

Assessment of the volume status by blood pressure (BP) monitoring is difficult, since baroreflex control of BP makes it insensitive to blood loss up to about one liter. We hypothesized that a machine learning model recognizes the progression of central hypovolemia toward presyncope by extracting inf...

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Detalles Bibliográficos
Autores principales: van der Ster, Björn J. P., Westerhof, Berend E., Stok, Wim J., van Lieshout, Johannes J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429974/
https://www.ncbi.nlm.nih.gov/pubmed/30488597
http://dx.doi.org/10.14814/phy2.13895

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429974/
https://www.ncbi.nlm.nih.gov/pubmed/30488597
http://dx.doi.org/10.14814/phy2.13895

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