A population-based study exploring phenotypic clusters and clinical outcomes in stroke using unsupervised machine learning approach

Individuals developing stroke have varying clinical characteristics, demographic, and biochemical profiles. This heterogeneity in phenotypic characteristics can impact on cardiovascular disease (CVD) morbidity and mortality outcomes. This study uses a novel clustering approach to stratify individual...

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Detalles Bibliográficos
Autores principales: Akyea, Ralph K., Ntaios, George, Kontopantelis, Evangelos, Georgiopoulos, Georgios, Soria, Daniele, Asselbergs, Folkert W., Kai, Joe, Weng, Stephen F., Qureshi, Nadeem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499205/
https://www.ncbi.nlm.nih.gov/pubmed/37703231
http://dx.doi.org/10.1371/journal.pdig.0000334

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499205/
https://www.ncbi.nlm.nih.gov/pubmed/37703231
http://dx.doi.org/10.1371/journal.pdig.0000334

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