Centre de Recherche en CardioVasculaire et Nutrition

Can machine learning be used to quantify blood loss based on hemodynamic data? Experimental study of controlled hemorrhagic shock in anesthetized piglets

Background Hemorrhagic compensatory physiological mechanisms may initially lead to an underestimation of the severity of a hemorrhage, for which quantification of blood lost volume is difficult. The objective of our study was to assess the suitability of machine learning (ML) to...