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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "PheVis" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'PheVis: Automatic Phenotyping of Electronic Health Record at Visit Resolution'
version: 1.0.5
doi: 10.32614/CRAN.package.PheVis
abstract: '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 Ferté et al. (2021) <https://doi.org/10.1016/j.jbi.2021.103746>.'
authors:
- family-names: Ferte
  given-names: Thomas
  email: thomas.ferte@u-bordeaux.fr
- family-names: Hejblum
  given-names: Boris P.
  email: boris.hejblum@u-bordeaux.fr
repository: https://cran.r-universe.dev
commit: d6c44d3e4da401df8a1fd014e92218bdcb7c4bfa
date-released: '2026-10-29'
contact:
- family-names: Ferte
  given-names: Thomas
  email: thomas.ferte@u-bordeaux.fr