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MUGS

Multisource Graph Synthesis with EHR Data

We develop Multi-source Graph Synthesis (MUGS), an algorithm designed to create embeddings for pediatric Electronic Health Record (EHR) codes by leveraging graphical information from three distinct sources: (1) pediatric EHR data, (2) EHR data from the general patient population, and (3) existing hierarchical medical ontology knowledge shared across different patient populations. See Li et al. (2024) <doi:10.1038/s41746-024-01320-4> for details.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 MUGS_0.1.0.tar.gz 549.0 KiB
0.1.0 rolling linux/noble R-4.5 MUGS_0.1.0.tar.gz 549.4 KiB
0.1.0 rolling source/ R- MUGS_0.1.0.tar.gz 522.5 KiB
0.1.0 latest linux/jammy R-4.5 MUGS_0.1.0.tar.gz 549.0 KiB
0.1.0 latest linux/noble R-4.5 MUGS_0.1.0.tar.gz 549.4 KiB
0.1.0 latest source/ R- MUGS_0.1.0.tar.gz 522.5 KiB
0.1.0 2026-04-26 source/ R- MUGS_0.1.0.tar.gz 522.5 KiB
0.1.0 2026-04-23 source/ R- MUGS_0.1.0.tar.gz 522.5 KiB
0.1.0 2026-04-09 windows/windows R-4.5 MUGS_0.1.0.zip 575.2 KiB

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