ClustEHR: a tool for generating synthetic EHR data for unsupervised learning experiments.

Objectives Clustering algorithms are commonly used to identify disease clusters. New Clustering algorithms are benchmarked on synthetic data to assess their accuracy. These datasets lack the complexities of real electronic health record (EHR) producing a partial assessment of the algorithm. We devel...

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Bibliographic Details

Published in:	International Journal of Population Data Science
Main Authors:	Nonie Alexander, Daniel Alexander, Spiros Denaxas
Format:	Article
Language:	English
Published:	Swansea University 2022-08-01
Subjects:	Synthetic EHR Clustering Synthetic cluster generators
Online Access:	https://ijpds.org/article/view/1844