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Clustering identifies endotypes of traumatic brain injury in an intensive care cohort: a CENTER-TBI study

Abstract Background While the Glasgow coma scale (GCS) is one of the strongest outcome predictors, the current classification of traumatic brain injury (TBI) as ‘mild’, ‘moderate’ or ‘severe’ based on this fails to capture enormous heterogeneity in pathophysiology and treatment response. We hypothes...

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Автори: Cecilia A. I. Åkerlund, Anders Holst, Nino Stocchetti, Ewout W. Steyerberg, David K. Menon, Ari Ercole, David W. Nelson, the CENTER-TBI Participants and Investigators
Формат: Artigo
Мова:Inglês
Опубліковано: BMC 2022-07-01
Серія:Critical Care
Предмети:
Traumatic brain injury
Endotypes
Intensive care unit
Critical care
Unsupervised clustering
Machine learning
Онлайн доступ:https://doi.org/10.1186/s13054-022-04079-w
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