Information

Click on a row to explore the results for that model. When you wish to explore a different model, then select the new result row and the tabs will be updated.

Demo Video

OHDSI PatientLevelPrediction Model Repository

This shiny application is an interface for viewing, uploading and downloading healthcare prediction models.

Our aim is to improve the reproducibility and transparency of prediction models. Reproducibiliy is improved by the ability to access code that can be run against any OMOP common data model data to implement and evaluate any model in this repository. Transparency is improved by providing all the details for the model development and performance within the app. This will help us decide which models to trust by examining extensive external validation results.

How to use?

Click on the 'Library' option in the left-hand menu to explore the models in the repository. You can select a model to explore further by selecting the corresponding row in the library table. This will then populate the settings/performance/model views.

How to download a model?

Click on the 'download development' to download an R package that can be executed on any OMOP common data model data to replicate the model development process in your data. Click the 'download validation' to download an R package that can be executed on any OMOP common data model data to validate the choosen model in your data. You can then upload the new model or validation results to the repo.

How to upload results?

Click the 'upload' left-hand menu option, fill out the form and click submit. The results will be reviewed and you will recieve and email once the results are in the repository.

Questions?

Please send any questions to: …@…com

Add

Data Information

#

The following databases were used in this study:

Database Name Country Type Years
OptumDoD Optum® De-Identified Clinformatic Data Mart Database – Date of Death (DOD)     USA     Claims     2000-2019
CCAE     IBM MarketScan® Commercial Database     USA     Claims 2000-2019
MDCD     IBM MarketScan® Multi-State Medicaid Database     USA     Claims 2006-2019
MDCR     IBM MarketScan® Medicare Supplemental Database     USA     Claims 2000-2019
JMDC     Japan Medical Data Center     Japan     Claims     2000-2019
optumEhr     Optum® de-identified Electronic Health Record Dataset     USA EHR     2006-2019

All databases obtained IRB approval or used deidentified data that was considered exempt from IRB approval.

Model Settings: help

Population Settings: help

Covariate Settings: help

Hyper-parameters

Attrition

Binary

Loading...

Measurements

Loading...

Covariates

Model Table

Cutoff Slider:

Dashboard

Cutoff Performance

Summary

Settings

Net Benefit Plot

Loading...

Summary

Roc Plot

Loading...

Calibration Plot

Loading...

Developer Info

Development R Package

Click here to download an R package that contains all the settings requires to replicate the model development using any OMOP CDM database.

Validation R Package

Click here to download an R package that contains all the settings requires to validate the existing model using any OMOP CDM database.