In hxia/plp-git-demo: Package for patient level prediction using data in the OMOP Common Data Model

What is a cohort table?

Click To Launch	Description of Demo
	Learn what a cohort table looks like and what columns are required.

Setting up a connection between your database and R

Click To Launch	Description of Demo
	Learn how to configure the connection to your OMOP CDM data from R using the OHDSI DatabaseConnector package.

Running a single PatientLevelPrediction model

Click To Launch	Description of Demo
	Learn how to develop and validate a single PatientLevelPrediction model.

Running multiple PatientLevelPrediction models study

Click To Launch	Description of Demo
	Learn how to develop and validate multiple PatientLevelPrediction models.

Designing a study in Atlas

Click To Launch	Description of Demo
	Learn how to design a multiple or single PatientLevelPrediction study using Atlas. Atlas creates an R package that just needs to be built and then you're on your way to developing multiple models!

Building and running the Atlas study

Click To Launch	Description of Demo
	Learn how to build the R package generated by Atlas and how to then run the study.

Exploring the results in the shiny app

Click To Launch	Description of Demo
	Learn how to interactively explore the model performance and model via the shiny apps viewPlp() and viewMultiplePlp()

Validating existing models on OMOP CDM data

Click To Launch	Description of Demo
	This demo shows how you can add any existing score or logistic model and valdiate the model on new OMOP CDM data. This is useful for benchmarking when developing new models or to perform extensive external validation of a model across the OHDSI network.

hxia/plp-git-demo documentation built on March 19, 2021, 1:54 a.m.