This workshop is for researchers who want to design prediction studies for precision medicine and disease interception using the OHDSI tools and programmers who want to implement and execute prediction studies using the OHDSI methods library.
Course prerequisites: knowledge of OMOP CDM and Vocabularies and either 1) epidemiologic knowledge understanding of how to define cohorts or 2) R programming skills.
Faculty: Peter Rijnbeek, Jenna Reps, Ross Williams
2019 OHDSI Tutorials – Patient-Level Prediction (1 of 5)
Introduction to predictive modelling in observational healthcare data
2019 OHDSI Tutorials – Patient-Level Prediction (2 of 5)
What is Patient-Level Prediction?
2019 OHDSI Tutorials – Patient-Level Prediction (3 of 5)
Learning the PLP Framework
2019 OHDSI Tutorials – Patient-Level Prediction (4 of 5)
TRIPOD
https://youtu.be/ZV35TZnF_1Y
2019 OHDSI Tutorials – Patient-Level Prediction (5 of 5)
Running a prediction in Atlas
2019 OHDSI Tutorials – Patient-Level Prediction (1 of 5)
2019 OHDSI Tutorials – Patient-Level Prediction (2 of 5)
2019 OHDSI Tutorials – Patient-Level Prediction (3 of 5)
2019 OHDSI Tutorials – Patient-Level Prediction (4 of 5)
2019 OHDSI Tutorials – Patient-Level Prediction (5 of 5)
Materials on Github – Including recommended reading and slides
Tutorial Slides
