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.
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
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)
Overview of the OHDSI Analysis Ecosystem
Population-Level Estimation
Data Quality
Cohort Definition/Phenotyping
