CRAN/E | sureLDA

sureLDA

A Novel Multi-Disease Automated Phenotyping Method for the EHR

Installation

About

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.

github.com/celehs/sureLDA
Bug report File report

Key Metrics

Version 0.1.0-1
R ≥ 3.0
Published 2020-11-10 1272 days ago
Needs compilation? yes
License GPL-3
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Maintainer

Maintainer

Yuri Ahuja

Yuri_Ahuja@hms.harvard.edu

Authors

Yuri Ahuja

aut / cre

Tianxi Cai

aut

PARSE LTD

aut

Material

README
Reference manual
Package source

Vignettes

Simulated Example

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.0
Matrix

Imports

pROC
glmnet
MAP
Rcpp
foreach
doParallel

Suggests

knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo