HDR UK Driver Programmes Symposium on Longitudinal Data Modelling
-
HDRUK Event
The symposium will feature two keynote talks, a panel discussion on the challenges of creating prediction models that deliver benefit for patients, a virtual poster session and short talks selected from submitted abstracts. We encourage participants to present on a range of topics to discuss the challenges faced (and potential solutions) when applying modelling approaches to longitudinal EHRs, including:
Data challenges
- Dealing with diverse data, e.g., from multiple centres, primary and secondary care settings, and different data modalities
- Addressing biases in data – methods to account for data missingness, loss to follow-up
- Defining disease phenotypes and potential causality using longitudinal EHRs, including symptom-level data
Modelling approaches
- Modelling of disease progression trajectories to understand co-morbidities and risk predictors
- Dynamic risk prediction models and causal risk prediction models
- Machine learning models for temporally sequenced data and repeated measurements
Implementation
- Developing model evaluation metrics
- Patient and public involvement and engagement (PPIE) in longitudinal EHR studies
- Deploying EHR longitudinal models in clinical practice
- Speaker
- Professor Tingting Zhu and Professor George Ploubidis
- Hosted by
- Online
- Booking
- Online booking available