sureLDA
A Novel Multi-Disease Automated Phenotyping Method for the EHR
v0.1.0-1
·
Nov 10, 2020
·
GPL-3
Description
A statistical learning method to simultaneously predict a range of target phenotypes using codified and natural language processing (NLP)-derived Electronic Health Record (EHR) data. See Ahuja et al (2020) JAMIA <doi:10.1093/jamia/ocaa079> for details.
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| r-devel-windows-x86_64 | OK |
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| r-oldrel-windows-x86_64 | OK |
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| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
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r-devel-linux-x86_64-fedora-clang
dependencies in R code
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r-devel-linux-x86_64-fedora-gcc
dependencies in R code
Namespaces in Imports field not imported from: ‘doParallel’ ‘pROC’ All declared Imports should be used.
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0.1.0-1
Mar 9, 2026