Mining Hierarchies and Similarity Clusters from Value Set Repositories.

In this study, we describe methods to extract implicit relationships between value sets, and utilize these relationships to overlay organizational structure onto value set repositories. We successfully extract two different structurings, hierarchy and clustering, and show how tooling can leverage these structures to enable more effective value set discovery. PMID: 29854206 [PubMed - indexed for MEDLINE]

https://www.ncbi.nlm.nih.gov/pubmed/29854206?dopt=Abstract

Source: AMIA Annual Symposium Proceedings - April 13, 2019 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

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