Table 5.
Model | Model, P value | |||
|
BERTa | BioBERT | EhrBERT500kb | EhrBERT1Mc |
DNormd | .004 | <.001 | <.001 | <.001 |
BERT |
|
.18 | .22 | .04 |
BioBERT |
|
|
.41 | .03 |
EhrBERT500k |
|
|
|
.03 |
aBERT: bidirectional encoder representations from transformers.
bEhrBERT500k: BERT-based model that was trained using 500,000 electronic health record notes.
cEhrBERT1M: BERT-based model that was trained using 1 million electronic health record notes.
dDNorm: disease name normalization.