loadPlpData

<code>loadPlpData</code> loads an object of type plpData from a folder in the file
system.

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 

loadPlpData function

<dl><dt>file</dt>
<dd>The name of the folder containing the data.</dd>
<dt>readOnly</dt>
<dd>If true, the data is opened read only.</dd></dl>

Arguments

Load the plpData from a folder — loadPlpData

<dl>

<dt>file</dt>
<dd>The name of the folder containing the data.</dd>


<dt>readOnly</dt>
<dd>If true, the data is opened read only.</dd>

</dl>

loadPlpData: Load the plpData from a folder

Description

Usage

Value

Arguments

Details

Examples