works on
diagnosis prediction 1longitudinal data 1pediatric health records 1risk forecasting 1transformer models 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.LG2026

TEDDY: A Pediatric Foundation Model for Risk Forewarning from ICD-Coded Diagnostic Histories

Matthew Brady Neeley, Jorge Botas, Johnathan Jia +5

The paper introduces TEDDY, a compact transformer model that learns from pediatric ICD-10 diagnosis histories to predict disease onset and visit timing up to years in advance.