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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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| Pubblicato in: | Physiol Rep |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
John Wiley and Sons Inc.
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6429974/ https://ncbi.nlm.nih.gov/pubmed/30488597 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.14814/phy2.13895 |
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