{ "_id": "6accac42a14063b82c3a7b60", "Package": "MUGS", "Type": "Package", "Title": "Multisource Graph Synthesis with EHR Data", "Version": "0.1.0", "Authors@R": "c(\nperson(given = \"Mengyan\", family = \"Li\", email = \"mengyanli@bentley.edu\", role = c(\"cre\", \"aut\")),\nperson(given = \"Thomas\", family = \"Charlon\", role = \"ctb\", comment = \"ORCID: 0000-0001-7497-0470\"),\nperson(given = \"Xiaoou\", family = \"Li\", role = \"aut\"),\nperson(given = \"Tianxi\", family = \"Cai\", role = \"aut\"),\nperson(given = \"PARSE\", family = \"LTD\", email = \"software@parse-health.org\", role = \"aut\"),\nperson(given = \"CELEHS\", family = \"Team\", role = \"aut\")\n)", "Description": "We develop Multi-source Graph Synthesis (MUGS), an\nalgorithm designed to create embeddings for pediatric\nElectronic Health Record (EHR) codes by leveraging graphical\ninformation from three distinct sources: (1) pediatric EHR\ndata, (2) EHR data from the general patient population, and (3)\nexisting hierarchical medical ontology knowledge shared across\ndifferent patient populations. See Li et al. (2024)\n for details.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "LazyDataCompression": "xz", "RoxygenNote": "7.3.2", "URL": "https://github.com/celehs/MUGS, https://celehs.github.io/MUGS/,\nhttps://doi.org/10.1038/s41746-024-01320-4", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://celehs.r-universe.dev", "Date/Publication": "2025-05-15 03:22:59 UTC", "RemoteUrl": "https://github.com/celehs/mugs", "RemoteRef": "HEAD", "RemoteSha": "840cae51bbf8e1a35dfbd15573a67feb01c927cc", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-12 09:41:59 UTC", "User": "root" }, "Author": "Mengyan Li [cre, aut],\nThomas Charlon [ctb] (ORCID: 0000-0001-7497-0470),\nXiaoou Li [aut],\nTianxi Cai [aut],\nPARSE LTD [aut],\nCELEHS Team [aut]", "Maintainer": "Mengyan Li ", "_user": "celehs", "_type": "src", "_file": "MUGS_0.1.0.tar.gz", "_fileid": 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