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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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| Publicat a: | Ann Clin Transl Neurol |
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| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
John Wiley and Sons Inc.
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6469248/ https://ncbi.nlm.nih.gov/pubmed/31019998 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/acn3.751 |
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