Table 4.
Model | Model, P value | |||
|
BERTa | EhrBERT500kb | EhrBERT1Mc | BioBERT |
DNormd | .10 | .01 | .04 | .004 |
BERT |
|
.25 | .15 | .03 |
EhrBERT500k |
|
|
.37 | .09 |
EhrBERT1M |
|
|
|
.32 |
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.