OHDSI/PatientLevelPrediction: Package for patient level prediction using data in the OMOP Common Data Model
Version 1.2.2

A package for creating patient level prediction models. Given a cohort of interest and an outcome of interest, the package can use data in the OMOP Common Data Model to build a large set of features. These features can then be assessed to fit a predictive model using a number of machine learning algorithms. Several performance measures are implemented for model evaluation.

Getting started

Package details

AuthorJenna Reps [aut], Martijn J. Schuemie [aut, cre], Marc A. Suchard [aut], Patrick B. Ryan [aut], Peter R. Rijnbeek [aut]
MaintainerJenna Reps <[email protected]>
LicenseApache License 2.0
Version1.2.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("OHDSI/PatientLevelPrediction")
OHDSI/PatientLevelPrediction documentation built on Oct. 18, 2017, 6:13 p.m.