Figure 3.

A case study. The left column shows examples where EhrBERT gave valid predictions. The right column shows examples where EhrBERT failed to give valid predictions. The rectangles denote mentions and weights of the word pieces in these mentions. The darker the color is, the larger the weight is. Split word pieces are denoted with “##.” The text in green and red indicate gold and predicted answers respectively. EhrBERT: bidirectional encoder representations from transformers (BERT)-based model that was trained using 1.5 million electronic health record notes.