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sureLDA

A Novel Multi-Disease Automated Phenotyping Method for the EHR

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.

Versions across snapshots

VersionRepositoryFileSize
0.1.0-1 rolling linux/jammy R-4.5 sureLDA_0.1.0-1.tar.gz 125.2 KiB
0.1.0-1 rolling linux/noble R-4.5 sureLDA_0.1.0-1.tar.gz 127.0 KiB
0.1.0-1 rolling source/ R- sureLDA_0.1.0-1.tar.gz 32.7 KiB
0.1.0-1 latest linux/jammy R-4.5 sureLDA_0.1.0-1.tar.gz 125.2 KiB
0.1.0-1 latest linux/noble R-4.5 sureLDA_0.1.0-1.tar.gz 127.0 KiB
0.1.0-1 latest source/ R- sureLDA_0.1.0-1.tar.gz 32.7 KiB
0.1.0-1 2026-04-26 source/ R- sureLDA_0.1.0-1.tar.gz 32.7 KiB
0.1.0-1 2026-04-23 source/ R- sureLDA_0.1.0-1.tar.gz 32.7 KiB
0.1.0-1 2026-04-09 windows/windows R-4.5 sureLDA_0.1.0-1.zip 448.3 KiB
0.1.0-1 2025-04-20 source/ R- sureLDA_0.1.0-1.tar.gz 32.7 KiB

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