OHDSI/PatientLevelPrediction: Develop Clinical Prediction Models Using the Common Data Model
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>.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | Apache License 2.0 |
| Version | 6.4.0 |
| 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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