Overview of conference themes:
- How to develop and apply prediction models and diagnostic tests
- High-dimensional data and genetic prediction
- Machine learning for evaluation of diagnostic tests, markers and prediction models
- Impact studies for diagnostic tests, markers and prediction models (including low resource settings)
- Systematic review and meta-analysis (including individual participant data)
- Big data, electronic health records, dynamic prediction
- How to quantify overdiagnosis
