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PatientLevelPrediction  

Develop Clinical Prediction Models Using the Common Data Model
View on CRAN: Click here


Download and install PatientLevelPrediction package within the R console
Install from CRAN:
install.packages("PatientLevelPrediction")

Install from Github:
library("remotes")
install_github("cran/PatientLevelPrediction")

Install by package version:
library("remotes")
install_version("PatientLevelPrediction", "6.7.0")



Attach the package and use:
library("PatientLevelPrediction")
Maintained by
Egill Fridgeirsson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-11
Latest Update: 2025-07-25
Description:
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>.
How to cite:
Egill Fridgeirsson (2025). PatientLevelPrediction: Develop Clinical Prediction Models Using the Common Data Model. R package version 6.7.0, https://cran.r-project.org/web/packages/PatientLevelPrediction. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-09-21 15:20), 6.4.0 (2025-02-11 10:30), 6.4.1 (2025-04-20 11:40), 6.5.0 (2025-07-25 13:40), 6.5.1 (2025-10-15 14:10), 6.6.0 (2026-03-09 16:20)
Other packages that cited PatientLevelPrediction R package
View PatientLevelPrediction citation profile
Other R packages that PatientLevelPrediction depends, imports, suggests or enhances
Complete documentation for PatientLevelPrediction
Functions, R codes and Examples using the PatientLevelPrediction R package
Full PatientLevelPrediction package functions and examples
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