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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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