AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms - 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. (Sensors (Basel, Switzerland), 2022)
Keywords: Accuracy; Algorithms; Artificial Intelligence; Blood pressure; Blood Pressure - physiology; Blood Volume - physiology; Comparative analysis; compensatory reserve; Customer relationship management software; Data mining; deep learning; Emergency medical care; Experiments; Heart Rate - physiology; Hemodynamics; Hemorrhage; Hemorrhage - diagnosis; Human subjects; Humans; Hypovolemia - diagnosis; Machine Learning; medical monitoring; Medical research; Morphology; Physiology; Shock; Vital signs; United States--US; deep learning; medical monitoring; sensor signals; shock; compensatory reserve; machine learning; artificial intelligence; hemorrhage