https://www.selleckchem.com/products/jq1.html
Rapid triage and intervention to control hemorrhage are key to survival following traumatic injury. Patients presenting in hemorrhagic shock may undergo resuscitative thoracotomy (RT) or resuscitative endovascular balloon occlusion of the aorta (REBOA) as adjuncts to rapidly control bleeding. We hypothesized that machine learning along with automated calculation of continuously measured vital signs in the pre-hospital setting would accurately predict need for REBOA/RT and inform rapid life-saving decisions. Prehospital and admission data fr
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