A Machine Learning–Based Model to Predict Acute Traumatic Coagulopathy in Trauma Patients Upon Emergency Hospitalization

Acute traumatic coagulopathy (ATC) is an extremely common but silent murderer; this condition presents early after trauma and impacts approximately 30% of severely injured patients who are admitted to emergency departments (EDs). Given that conventional coagulation indicators usually require more th...

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Autors principals:	Kaiyuan Li MD, Huitao Wu MD, Fei Pan PhD, Li Chen PhD, Cong Feng PhD, Yihao Liu MD, Hui Hui MD, Xiaoyu Cai MD, Hebin Che MD, Yulong Ma PhD, Tanshi Li PhD
Format:	Artigo
Idioma:	Inglês
Publicat:	SAGE Publishing 2020-01-01
Col·lecció:	Clinical and Applied Thrombosis/Hemostasis
Accés en línia:	https://doi.org/10.1177/1076029619897827
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