AI RESEARCH

Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings

arXiv CS.LG

ArXi:2604.14547v1 Announce Type: new Objective: Post-traumatic epilepsy (PTE) is a debilitating neurological disorder that develops after traumatic brain injury (TBI). Early prediction of PTE remains challenging due to heterogeneous clinical data, limited positive cases, and reliance on resource-intensive neuroimaging data. We investigate whether routinely collected acute clinical records alone can early PTE prediction using language model-based approaches.