PatientLevelPrediction OHDSI Tutorial

The version that will be used at the 2017 OHDSI tutorial on PatientLevelPrediction.

This version includes:

-Standardized covariate construction using the CDM
-Ability to add custom covariates
-7 classifiers (ada boost, decision tree, gradient boosting machine, knn, lasso logistic regression, naive bayes, random forest)
-Ability to add custom classifier
-Internal validation measures (calibration, discrimination, visualizations)
-Interactive shiny visualization of internal validation performance
-Simple functions to extract similar data (the same covariates) and apply the model on new datasets