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

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

MaintainerJenna Reps <jreps@its.jnj.com>
LicenseApache License 2.0
Version4.1.0
URL https://ohdsi.github.io/PatientLevelPrediction https://github.com/OHDSI/PatientLevelPrediction
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("OHDSI/PatientLevelPrediction")
OHDSI/PatientLevelPrediction documentation built on Oct. 1, 2020, 6:06 p.m.