OHDSI/PatientLevelPrediction: Developing patient level prediction using data in the OMOP Common Data Model
A user friendly way to create patient level prediction models using the OMOP common data model. Given a cohort of interest and an outcome of interest, the package can use data in the OMOP Common Data Model to build a large set of features. These features can then be assessed to fit a predictive model using a number of machine learning algorithms. Several performance measures are implemented for model evaluation.
Getting started
Browse package contents
Package details |
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| Maintainer | Jenna Reps <jreps@its.jnj.com> |
| License | Apache License 2.0 |
| Version | 6.3.7 |
| URL | https://ohdsi.github.io/PatientLevelPrediction https://github.com/OHDSI/PatientLevelPrediction |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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