insertResultsToSqlite

This function create an sqlite database with the PLP result schema and inserts all results

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 

insertResultsToSqlite function

<dl><dt>resultLocation</dt>
<dd>(string) location of directory where the main package results were saved</dd>
<dt>cohortDefinitions</dt>
<dd>A set of one or more cohorts extracted using ROhdsiWebApi::exportCohortDefinitionSet()</dd>
<dt>databaseList</dt>
<dd>A list created by <code>createDatabaseList</code> to specify the databases</dd>
<dt>sqliteLocation</dt>
<dd>(string) location of directory where the sqlite database will be saved</dd></dl>

Arguments

Create sqlite database with the results — insertResultsToSqlite

<dl>

<dt>resultLocation</dt>
<dd>(string) location of directory where the main package results were saved</dd>


<dt>cohortDefinitions</dt>
<dd>A set of one or more cohorts extracted using ROhdsiWebApi::exportCohortDefinitionSet()</dd>


<dt>databaseList</dt>
<dd>A list created by <code>createDatabaseList</code> to specify the databases</dd>


<dt>sqliteLocation</dt>
<dd>(string) location of directory where the sqlite database will be saved</dd>

</dl>

insertResultsToSqlite: Create sqlite database with the results

Description

Usage

Value

Arguments

Details