Characterization of clot composition in acute cerebral infarct using machine learning techniques

OBJECTIVE: Clot characteristics can provide information on the cause of cerebral artery occlusion and may guide acute revascularization and secondary prevention strategies. We developed a rapid automated clot analysis system using machine learning (ML) and validated its accuracy in patients undergoi...

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Detalles Bibliográficos
Autores principales: Chung, Jong‐Won, Kim, Yoon‐Chul, Cha, Jihoon, Choi, Eun‐Hyeok, Kim, Byung Moon, Seo, Woo‐Keun, Kim, Gyeong‐Moon, Bang, Oh Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469248/
https://www.ncbi.nlm.nih.gov/pubmed/31019998
http://dx.doi.org/10.1002/acn3.751

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469248/
https://www.ncbi.nlm.nih.gov/pubmed/31019998
http://dx.doi.org/10.1002/acn3.751

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