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

Autor: Convertino, Victor A.1,2,3 (AUTHOR) ashli.n.carlson.mil@mail.mil, Techentin, Robert W.4 (AUTHOR) techentin.robert@mayo.edu, Poole, Ruth J.4 (AUTHOR) poole.ruth@mayo.edu, Dacy, Ashley C.5 (AUTHOR) ashley.c.dacy.civ@mail.mil, Carlson, Ashli N.1 (AUTHOR), Cardin, Sylvain5 (AUTHOR) sylvain.cardin.civ@mail.mil, Haider, Clifton R.4 (AUTHOR) haider.clifton@mayo.edu, Holmes III, David R.6 (AUTHOR) holmes.david3@mayo.edu, Wiggins, Chad C.7 (AUTHOR) wiggins.chad@mayo.edu, Joyner, Michael J.7 (AUTHOR) joyner.michael@mayo.edu, Curry, Timothy B.7 (AUTHOR) curry.timothy@mayo.edu, Inan, Omer T.8 (AUTHOR) inan@gatech.edu
Zdroj: Sensors (14248220). Apr2022, Vol. 22 Issue 7, p2642. 13p.
Databáze: Academic Search Ultimate
Nepřihlášeným uživatelům se plný text nezobrazuje