Type: Package
Package: PheVis
Title: Automatic Phenotyping of Electronic Health Record at Visit
        Resolution
Version: 1.0.4
Date: 2023-10-20
Authors@R: 
    c(person(given = "Thomas",
             family = "Ferte",
             role = c("aut", "cre"),
             email = "thomas.ferte@u-bordeaux.fr"),
      person(given = "Boris P.",
             family = "Hejblum",
             role = "aut",
             email = "boris.hejblum@u-bordeaux.fr"))
Description: Using Electronic Health Record (EHR) is difficult because
        most of the time the true characteristic of the patient is not
        available. Instead we can retrieve the International
        Classification of Disease code related to the disease of
        interest or we can count the occurrence of the Unified Medical
        Language System. None of them is the true phenotype which needs
        chart review to identify. However chart review is time
        consuming and costly. 'PheVis' is an algorithm which is
        phenotyping (i.e identify a characteristic) at the visit level
        in an unsupervised fashion. It can be used for chronic or acute
        diseases. An example of how to use 'PheVis' is available in the
        vignette. Basically there are two functions that are to be
        used: `train_phevis()` which trains the algorithm and
        `test_phevis()` which get the predicted probabilities. The
        detailed method is described in preprint by Ferté et al. (2020)
        <doi:10.1101/2020.06.15.20131458>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, glmnet, knitr, lme4, purrr, randomForest, Rcpp
        (>= 1.0.3), stats, tidyr, viridis, zoo
Suggests: PRROC, rmarkdown, testthat
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2026-10-08 08:20:16 UTC; root
Author: Thomas Ferte [aut, cre], Boris P. Hejblum [aut]
Maintainer: Thomas Ferte <thomas.ferte@u-bordeaux.fr>
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://thomasferte.r-universe.dev
Date/Publication: 2023-10-20 09:30:41 UTC
RemoteUrl: https://github.com/cran/PheVis
RemoteRef: HEAD
RemoteSha: 33d5ff29cce5105be54880a3d9fc308b7b653f86
Built: R 4.6.0; wasm32-unknown-emscripten; 2026-10-08 08:22:36 UTC; unix
