Feasibility of the optimal cerebral perfusion pressure value identification without a delay that is too long - Deimantavicius, Mantas; Chaleckas, Edvinas; Boere, Katherine; Putnynaite, Vilma; Tamosuitis, Tomas; Tamasauskas, Arimantas; Kavaliauskas, Mindaugas; Rocka, Saulius; Preiksaitis, Aidanas; Vosylius, Saulius; Krakauskaite, Solventa; Berskiene, Kristina; et al. (Scientific reports, 2022)
Keywords: 631/378; 631/57; 639/705; 692/308; 692/700; Algorithms; Blood pressure; Blood Pressure - physiology; Brain Injuries, Traumatic; Cerebrovascular Circulation - physiology; Feasibility Studies; Humanities and Social Sciences; Humans; Intracranial Pressure - physiology; Machine learning; Monitoring, Physiologic; multidisciplinary; Patients; Perfusion; Physiology; Population studies; Prospective Studies; Retrospective Studies; Science; Science (multidisciplinary); Traumatic brain injury