Unsupervised Machine Learning Reveals Novel Traumatic Brain Injury Patient Phenotypes with Distinct Acute Injury Profiles and Long-Term Outcomes

The heterogeneity of traumatic brain injury (TBI) remains a core challenge for the success of interventional clinical trials. Data-driven approaches for patient stratification may help to identify TBI patient phenotypes during the acute injury period as well as facilitate targeted trial patient enro...

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Dades bibliogràfiques
Publicat a:J Neurotrauma
Autors principals: Folweiler, Kaitlin A., Sandsmark, Danielle K., Diaz-Arrastia, Ramon, Cohen, Akiva S., Masino, Aaron J.
Format: Artigo
Idioma:Inglês
Publicat: Mary Ann Liebert, Inc., publishers 2020
Matèries:
Original Articles
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7249479/
https://ncbi.nlm.nih.gov/pubmed/32008422
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/neu.2019.6705
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