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PheVis

1.0.4

Automatic Phenotyping of Electronic Health Record at Visit Resolution

0packages depend
2.7Kdownloads / year
76.9%test coverage
13/13checks pass

Overview

About
Maintained by Thomas FerteFirst published 2021-02-164 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 5.2 min · r-release-macos-x86_64
Code health
Yes
Tests · ratio 0.06
76.9%
Coverage · measured lines
100%
Documentation · exports
12
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 147 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
33%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.7K
CRAN downloads in the past year
Rank #16,217 · ~8/day · ~229/mo
Daily download trend is not available in this view yet.
13930 days
65190 days
2.7K1 year
Compare downloads with other packages →
Also on388 r2u20 autocran

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.4Latest
    2023-10-20 · current release · diff ↗
  • 1.0.3
    2023-09-21 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.2
    2021-02-23 · diff ↗
  • 1.0.1
    2021-02-16
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-02-16
Total releases
4 / 5 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
257 KB / 2 files
Download size
329 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PheVis")
Ferte, T., & Hejblum, B. P. (2023). PheVis: Automatic Phenotyping of Electronic Health Record at Visit Resolution (Version 1.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.PheVis

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PheVis version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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