A population-based study exploring phenotypic clusters and clinical outcomes in stroke using unsupervised machine learning approach
(2023)
Journal Article
Akyea, R. K., Ntaios, G., Kontopantelis, E., Georgiopoulos, G., Soria, D., Asselbergs, F. W., …Qureshi, N. (2023). A population-based study exploring phenotypic clusters and clinical outcomes in stroke using unsupervised machine learning approach. PLOS Digital Health, 2(9), Article e0000334. https://doi.org/10.1371/journal.pdig.0000334
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... Read More about A population-based study exploring phenotypic clusters and clinical outcomes in stroke using unsupervised machine learning approach.