A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from https://cran.r-project.org/web/packages/fda.usc/../rmarkdown/../PatientLevelPrediction/index.html below:

CRAN: Package PatientLevelPrediction

PatientLevelPrediction: Develop Clinical Prediction Models Using the Common Data Model

A user friendly way to create patient level prediction models using the Observational Medical Outcomes Partnership Common Data Model. Given a cohort of interest and an outcome of interest, the package can use data in the Common Data Model to build a large set of features. These features can then be used to fit a predictive model with a number of machine learning algorithms. This is further described in Reps (2017) <doi:10.1093/jamia/ocy032>.

Version: 6.4.1 Depends: R (≥ 4.0.0) Imports: Andromeda, Cyclops (≥ 3.0.0), DatabaseConnector (≥ 6.0.0), digest, dplyr, FeatureExtraction (≥ 3.0.0), Matrix, memuse, ParallelLogger (≥ 2.0.0), pROC, PRROC, rlang, SqlRender (≥ 1.1.3), tidyr, utils Suggests: curl, Eunomia (≥ 2.0.0), glmnet, ggplot2, gridExtra, IterativeHardThresholding, knitr, lightgbm, Metrics, mgcv, OhdsiShinyAppBuilder (≥ 1.0.0), parallel, polspline, readr, ResourceSelection, ResultModelManager (≥ 0.2.0), reticulate (≥ 1.30), rmarkdown, RSQLite, scoring, survival, survminer, testthat, withr, xgboost (> 1.3.2.1) Published: 2025-04-20 DOI: 10.32614/CRAN.package.PatientLevelPrediction Author: Egill Fridgeirsson [aut, cre], Jenna Reps [aut], Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Peter Rijnbeek [aut], Observational Health Data Science and Informatics [cph] Maintainer: Egill Fridgeirsson <e.fridgeirsson at erasmusmc.nl> BugReports: https://github.com/OHDSI/PatientLevelPrediction/issues License: Apache License 2.0 URL: https://ohdsi.github.io/PatientLevelPrediction/, https://github.com/OHDSI/PatientLevelPrediction NeedsCompilation: no Citation: PatientLevelPrediction citation info Materials: README NEWS CRAN checks: PatientLevelPrediction results Documentation: Reference manual: PatientLevelPrediction.pdf Vignettes: Adding Custom Feature Engineering Functions (source, R code)
Adding Custom Patient-Level Prediction Algorithms (source, R code)
Adding Custom Sampling (source, R code)
Adding Custom Data Splitting (source, R code)
Benchmark Tasks (source)
Best Practices (source)
Automatically Build Multiple Patient-Level Predictive Models (source, R code)
Building patient-level predictive models (source, R code)
Clinical Models (source)
Constrained Predictors (source, R code)
Creating Learning Curves (source, R code)
Making patient-level predictive network study packages (source, R code)
Integration of GIS Data Into OHDSI Model Building (source, R code)
Patient-Level Prediction Installation Guide (source, R code)
Downloads: Linking:

Please use the canonical form https://CRAN.R-project.org/package=PatientLevelPrediction to link to this page.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4