Patient-Level Prediction

Faculty:
Peter Rijnbeek, Jenna Reps, Seng Chan You, Ross Williams

Target Audience:
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.

Videos

The following videos were recorded during the fourth annual OHDSI symposium which took place October 11-13th, 2018. These recordings were made possible by generous support from EvidNet, Deloitte, Johnson & Johnson, and Bayer.

2018 OHDSI Patient Level Prediction Tutorial (1 of 6)
Selection of Prediction Problem

2018 OHDSI Patient Level Prediction Tutorial (2 of 6)
What is Patient Level Prediction

2018 OHDSI Patient Level Prediction Tutorial (3 of 6)
Learning the OHDSI Patient Level Prediction Framework

2018 OHDSI Patient Level Prediction Tutorial (4 of 6)
TRIPOD: Transparent Reporting of a Multi-Variable Prediction Model for Individual Prognosis or Diagnosis

2018 OHDSI Patient Level Prediction Tutorial (5 of 6)
ATLAS Demo

2018 OHDSI Patient Level Prediction Tutorial (6 of 6)
Lessons Learned and Conclusion

Watch on YouTube

2018 OHDSI Patient Level Prediction Tutorial (1 of 6)
2018 OHDSI Patient Level Prediction Tutorial (2 of 6)
2018 OHDSI Patient Level Prediction Tutorial (3 of 6)
2018 OHDSI Patient Level Prediction Tutorial (4 of 6)
2018 OHDSI Patient Level Prediction Tutorial (5 of 6)
2018 OHDSI Patient Level Prediction Tutorial (6 of 6)

Materials

Tutorial Slides