createDefaultExecuteSettings

<p>Creates default list of settings specifying what parts of runPlp to execute</p>

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>.

Egill Fridgeirsson

PatientLevelPrediction

Develop Clinical Prediction Models Using the Common Data Model

Jenna Reps

Martijn Schuemie

Marc Suchard

Patrick Ryan

Peter Rijnbeek

Observational Health Data Science and Informatics 

createDefaultExecuteSettings function

Creates default list of settings specifying what parts of runPlp to execute — createDefaultExecuteSettings

Creates default list of settings specifying what parts of runPlp to execute

createDefaultExecuteSettings: Creates default list of settings specifying what parts of runPlp to execute

Description

Usage

Arguments

Value

Details

Examples