AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms

The application of artificial intelligence (AI) has provided new capabilities to develop advanced medical monitoring sensors for detection of clinical conditions of low circulating blood volume such as hemorrhage. The purpose of this study was to compare for the first time the discriminative ability...

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Detalles Bibliográficos
Autores principales: Convertino, Victor A., Techentin, Robert W., Poole, Ruth J., Dacy, Ashley C., Carlson, Ashli N., Cardin, Sylvain, Haider, Clifton R., Holmes III, David R., Wiggins, Chad C., Joyner, Michael J., Curry, Timothy B., Inan, Omer T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003258/
https://www.ncbi.nlm.nih.gov/pubmed/35408255
http://dx.doi.org/10.3390/s22072642

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003258/
https://www.ncbi.nlm.nih.gov/pubmed/35408255
http://dx.doi.org/10.3390/s22072642

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