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

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