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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.
Package details |
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| 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@bentley.edu> |
| License | GPL-3 |
| Version | 0.1.0 |
| URL | https://github.com/celehs/MUGS https://celehs.github.io/MUGS/ https://doi.org/10.1038/s41746-024-01320-4 |
| Package repository | View on CRAN |
| Installation |
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