Data-driven clustering approach to identify novel phenotypes using multiple biomarkers in acute ischaemic stroke: A retrospective, multicentre cohort study

BACKGROUND: Acute ischaemic stroke (AIS) is a highly heterogeneous disorder and warrants further investigation to stratify patients with different outcomes and treatment responses. Using a large-scale stroke registry cohort, we applied data-driven approach to identify novel phenotypes based on multi...

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Detalles Bibliográficos
Autores principales: Ding, Lingling, Mane, Ravikiran, Wu, Zhenzhou, Jiang, Yong, Meng, Xia, Jing, Jing, Ou, Weike, Wang, Xueyun, Liu, Yu, Lin, Jinxi, Zhao, Xingquan, Li, Hao, Wang, Yongjun, Li, Zixiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9465270/
https://www.ncbi.nlm.nih.gov/pubmed/36105873
http://dx.doi.org/10.1016/j.eclinm.2022.101639

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9465270/
https://www.ncbi.nlm.nih.gov/pubmed/36105873
http://dx.doi.org/10.1016/j.eclinm.2022.101639

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