MUGS: Multisource Graph Synthesis with EHR Data (original) (raw)
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 |
| 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 results |
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