A new AKASA study finds the Read, Attend and Code machine learning model outperformed current state-of-the-art models for automatic coding of inpatient clinical notes by more than 18% South San ...

We created an annotated corpus of tumor morphology and topography mentions consisting of 1,101 documents. We combined it with the CANTEMIST corpus (Cancer Text Mining Shared Task). Specifically, we ...