PheVis
Automatic Phenotyping of Electronic Health Record at Visit Resolution
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)
- Version1.0.4
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release10/20/2023
Documentation
Team
Thomas Ferte
Boris P. Hejblum
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports11 packages
- Suggests3 packages
- Linking To1 package