Knowledge graph-guided multiple sclerosis identification and therapeutic trend analysis: Real-world evidence from two large healthcare systems
An unsupervised phenotyping algorithm is developed that leverages a publicly available knowledge graph and informative EHR features to identify patients with MS and achieves robust performance in predicting MS diagnosis, highlighting distinct temporal shifts in the complex MS therapeutic landscape toward higher-effecti...