Package: PheVis 1.0.4
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) <doi:10.1101/2020.06.15.20131458>.
Authors:
PheVis_1.0.4.tar.gz
PheVis_1.0.4.zip(r-4.5)PheVis_1.0.4.zip(r-4.4)PheVis_1.0.4.zip(r-4.3)
PheVis_1.0.4.tgz(r-4.4-x86_64)PheVis_1.0.4.tgz(r-4.4-arm64)PheVis_1.0.4.tgz(r-4.3-x86_64)PheVis_1.0.4.tgz(r-4.3-arm64)
PheVis_1.0.4.tar.gz(r-4.5-noble)PheVis_1.0.4.tar.gz(r-4.4-noble)
PheVis_1.0.4.tgz(r-4.4-emscripten)PheVis_1.0.4.tgz(r-4.3-emscripten)
PheVis.pdf |PheVis.html✨
PheVis/json (API)
NEWS
| # Install 'PheVis' in R: |
| install.packages('PheVis', repos = c('https://thomasferte.r-universe.dev', 'https://cloud.r-project.org')) |
- data_perf - Control data for test
- data_phevis - PheVis simulated dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:33d5ff29cc. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 08 2024 |
| R-4.5-win-x86_64 | OK | Sep 08 2024 |
| R-4.5-linux-x86_64 | OK | Sep 08 2024 |
| R-4.4-win-x86_64 | OK | Sep 08 2024 |
| R-4.4-mac-x86_64 | OK | Sep 08 2024 |
| R-4.4-mac-aarch64 | OK | Sep 08 2024 |
| R-4.3-win-x86_64 | OK | Sep 08 2024 |
| R-4.3-mac-x86_64 | OK | Sep 08 2024 |
| R-4.3-mac-aarch64 | OK | Sep 08 2024 |
Exports:ggindividual_plottest_phevistrain_phevis
Dependencies:bootclicodetoolscolorspacecpp11dplyrevaluatefansifarverforeachgenericsggplot2glmnetgluegridExtragtablehighrisobanditeratorsknitrlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrpillarpkgconfigpurrrR6randomForestRColorBrewerRcppRcppEigenrlangscalesshapestringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisviridisLitewithrxfunyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| boot_df | boot_df |
| build_qantsur | build_qantsur |
| build_quali | build_quali |
| check_arg_test_phevis | check_arg_test_phevis |
| check_arg_train_phevis | check_arg_train_phevis |
| cum_lag | cum_lag |
| Control data for test | data_perf |
| PheVis simulated dataset | data_phevis |
| expcorrectC | expcorrectC |
| fct_surrogate_quanti | fct_surrogate_quanti |
| ggindividual_plot | ggindividual_plot |
| matrix_exp_smooth | matrix_exp_smooth |
| noising | noising |
| norm_var | norm_var |
| phenorm_longit_fit | phenorm_longit_fit |
| phenorm_longit_simpl | phenorm_longit_simpl |
| pred_lme4model | pred_lme4model |
| pretty_cv.glmnet | pretty_cv.glmnet |
| roll_time_sum | roll_time_sum |
| rolling_var | rolling_var |
| safe_selection | safe_selection |
| sur_exp_smooth | sur_exp_smooth |
| test_phevis | test_phevis |
| train_phevis | train_phevis |
