Modeling Dementia Risk in Real World Data

Learn how to model dementia risk using real-world electronic health record data in this 21-minute conference talk from the Computational Genomics Summer Institute. Explore advanced computational approaches for identifying disease trajectories in progressive supranuclear palsy and discover methods for improving genetic risk modeling of dementia in underrepresented populations. Examine techniques for defining distances between diseases using SNOMED CT embeddings and understand how these methodologies can be applied to enhance dementia risk prediction models. Gain insights into leveraging large-scale clinical datasets to better understand neurodegenerative disease progression and risk factors, with particular emphasis on addressing health disparities in genetic risk assessment.