Article

Tracking patient clusters over time enables to extract all the information available in the medico-administrative databases

2022-08-06

Abstract excerpt

<h4>Context</h4> Identifying clusters (i.e., subgroups) of patients from the analysis of medico-administrative databases is particularly important to better understand disease heterogeneity. However, the complexity of these databases, in particular due to the presence of truncated longitudinal data, requires adaptation of clustering approaches. <h4>Objective</h4> We propose here cluster-tracking approaches to iden...

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Literature Corpus work: e5f44835-5617-5430-ba2e-a3ff5e5239ac
DOI: 10.1101/2022.08.05.22278468

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