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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Bibliographic Details
Main Authors: 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.
Format: Online Article Text
Language:English
Published: MDPI 2022
Subjects:
Article
Online Access: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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