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PheVis

1.0.4Package record

Automatic Phenotyping of Electronic Health Record at Visit Resolution

0packages depend
3Kdownloads / year
76.9%test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.0.4

Patch

  • Correct test failure by increasing tolerance.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.3 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.4
READMEYes · 147 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0.4Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
25 (1 internal)includes a package overview page
Examples that run
33%1 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

3K
CRAN downloads in the past year
Rank #15,218 · ~8/day · ~249/mo
Daily download trend is not available in this view yet.
31730 days
80590 days
3K1 year
Compare downloads with other packages →
Also on349 r2u2 autocran

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

Installing PheVis adds 50 packages (26 with compiled code, 48 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, lme4 4.3 MB.

Depends (1)
R >= 3.5.0
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0.1 (2021)
Releases (4)

Pick two releases to compare their code metrics.

  • 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
    record
    2023-10-20 · current release · diff ↗
  • 1.0.3
    record
    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
    record
    2021-02-23 · diff ↗
  • 1.0.1
    record
    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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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