getEunomiaPlpData

This function creates a plpData object from the Eunomia database. It gets
the connection details, creates the cohorts, and extracts the data. The cohort
is predicting GIbleed in new users of celecoxib.

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 

getEunomiaPlpData function

<dl><dt>covariateSettings</dt>
<dd>A list of covariateSettings objects created using the
<code>createCovariateSettings</code> function in the <code>FeatureExtraction</code> package.
If nothing is specified covariates with age, gender, conditions and drug era are used.</dd></dl>

Arguments

Create a plpData object from the Eunomia database' — getEunomiaPlpData

<dl>

<dt>covariateSettings</dt>
<dd>A list of covariateSettings objects created using the
<code>createCovariateSettings</code> function in the <code>FeatureExtraction</code> package.
If nothing is specified covariates with age, gender, conditions and drug era are used.</dd>

</dl>

getEunomiaPlpData: Create a plpData object from the Eunomia database'

Description

Usage

Value

Arguments