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.
Version: 0.1.0 Depends: R (≥ 3.5.0) Imports: MASS, Matrix, fastDummies, doSNOW, dplyr, grplasso, foreach, glmnet, grpreg, inline, mvtnorm, pROC, parallel, RcppArmadillo, rsvd, methods Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2025-05-19 DOI: 10.32614/CRAN.package.MUGS Author: Mengyan Li [cre, aut], Thomas Charlon [ctb] (ORCID: 0000-0001-7497-0470), Xiaoou Li [aut], Tianxi Cai [aut], PARSE LTD [aut], CELEHS Team [aut] Maintainer: Mengyan Li <mengyanli at bentley.edu> License: GPL-3 URL: https://github.com/celehs/MUGS, https://celehs.github.io/MUGS/, https://doi.org/10.1038/s41746-024-01320-4 NeedsCompilation: no Materials: README NEWS CRAN checks: MUGS resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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