Clustering the Whole-Person Health Data to Predict Liver Transplant Survival
Pruinelli, L.; Monsen, K.A.; Simon, G.J.; Westra, B.L.
Studies in Health Technology and Informatics 225: 382-386
2016
ISSN/ISBN: 1879-8365 PMID: 27332227 Document Number: 687281
This study aims to discover groups (clusters) of patient who share whole-person characteristics. An unsupervised clustering analysis using a hierarchical agglomerative approach was applied to identify meaningful groups of patient characteristics. Results showed that is possible to identify clusters that have similar patient characteristics, and that these characteristics may be associated with survival.
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