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Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke
Early and accurate diagnosis of stroke improves the probability of positive outcome. The objective of this study was to identify a pattern of gene expression in peripheral blood that could potentially be optimised to expedite the diagnosis of acute ischaemic stroke (AIS). A discovery cohort was recr...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5685316/ https://www.ncbi.nlm.nih.gov/pubmed/29263821 http://dx.doi.org/10.1038/npjgenmed.2016.38 |