Bridging the Version Gap: Multi-version Training Improves ICD Code Prediction, Especially for Rare Codes

In three linesICD coding model trained on multiple versions (ICD-9 + ICD-10) to predict medical codes. Multi-version training improves micro F1 by 27% on 18K rare ICD-10 codes and macro metrics on 8K frequent codes, with fewer model parameters.

Summary generated by Claude — human-verified