summary.plpData

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 

summary.plpData function

<dl><dt>object</dt>
<dd>The plpData object to summarize</dd>
<dt>...</dt>
<dd>Additional arguments</dd></dl>

Arguments

Summarize a plpData object — summary.plpData

<dl>

<dt>object</dt>
<dd>The plpData object to summarize</dd>


<dt>...</dt>
<dd>Additional arguments</dd>

</dl>

Summarize a plpData object

summary.plpData: Summarize a plpData object

Description

Usage

Value

Arguments

Examples