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PatientLevelPrediction
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", "6.4.0")
Attach the package and use:
library("PatientLevelPrediction")
Maintained by
Egill Fridgeirsson
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.PatientLevelPrediction . https://github.com/OHDSI/PatientLevelPrediction/issues . https://ohdsi.github.io/PatientLevelPrediction/ . https://github.com/OHDSI/PatientLevelPrediction . PatientLevelPrediction citation info . PatientLevelPrediction results . PatientLevelPrediction.pdf . PatientLevelPrediction_6.4.0.tar.gz . PatientLevelPrediction_6.4.0.zip . PatientLevelPrediction_6.4.0.zip . PatientLevelPrediction_6.4.0.zip . PatientLevelPrediction_6.4.0.tgz . PatientLevelPrediction_6.4.0.tgz . PatientLevelPrediction_6.4.0.tgz . PatientLevelPrediction_6.4.0.tgz . PatientLevelPrediction_6.4.0.tgz . PatientLevelPrediction_6.4.0.tgz . https://CRAN.R-project.org/package=PatientLevelPrediction .
First Published: 2025-02-11
Latest Update: 2025-02-11
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 6.4.0, https://cran.r-project.org/web/packages/PatientLevelPrediction. Accessed 29 Mar. 2025.
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