Cluster Analysis

Eto, F., Samuel, M., Henkin, R., Mahesh, M., Ahmad, T., Angdembe, A., et al. (2023). Ethnic differences in early onset multimorbidity and associations with health service use, long-term prescribing, years of life lost, and mortality: A cross-sectional study using clustering in the UK Clinical Practice Research Datalink. Plos Med, 20, e1004300. http://doi.org/10.1371/journal.pmed.1004300
Dashtban, A., Mizani, M. A., Pasea, L., Denaxas, S., Corbett, R., Mamza, J. B., et al. (2023). Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals. Ebiomedicine, 89, 104489. http://doi.org/10.1016/j.ebiom.2023.104489
Mulick, A. R., Henderson, A. D., Prieto-Merino, D., Mansfield, K. E., Matthewman, J., Quint, J. K., et al. (2022). Novel multimorbidity clusters in people with eczema and asthma: a population-based cluster analysis. Sci Rep, 12, 21866. http://doi.org/10.1038/s41598-022-26357-x