Article Versions Notes

Convertino VA, Techentin RW, Poole RJ, Dacy AC, Carlson AN, Cardin S, Haider CR, Holmes III DR, Wiggins CC, Joyner MJ, et al. AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms. Sensors. 2022; 22(7):2642. https://doi.org/10.3390/s22072642

Convertino, Victor A., Robert W. Techentin, Ruth J. Poole, Ashley C. Dacy, Ashli N. Carlson, Sylvain Cardin, Clifton R. Haider, David R. Holmes III, Chad C. Wiggins, Michael J. Joyner, and et al. 2022. "AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms" Sensors 22, no. 7: 2642. https://doi.org/10.3390/s22072642

Convertino, V. A., Techentin, R. W., Poole, R. J., Dacy, A. C., Carlson, A. N., Cardin, S., Haider, C. R., Holmes III, D. R., Wiggins, C. C., Joyner, M. J., Curry, T. B., & Inan, O. T. (2022). AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms. Sensors, 22(7), 2642. https://doi.org/10.3390/s22072642