Abstract: Neurofibromatosis Type 1 (NF1), is recognized as one of world’s most common neurogenetic disorders. NF1 can be systematically diagnosed using standard and widely accepted clinical criteria. However, subsequent disease management of patients with NF1 is currently not informed by prognostic markers. We used analytical techniques on previously collected data sets, to construct prediction models to identify patients at greatest risk of developing Autism Spectrum Disorder, Optic Pathway Gliomas and Attention-Deficit/Hyperactivity Disorder.
Learning Objective 1: Apply analytical techniques on electronic health record data sets, to build a model to predict the development of advanced symptoms in patient populations
Matthew Lui (Presenter)
Washington University in St. Louis
Aditi Gupta, Washington University in St. Louis
Stephanie Morris, Washington University in St. Louis
David Gutmann, Washington University in St. Louis
Philip Payne, Washington University in St. Louis