BEHRT applies a transformer to EHR sequences for multitask prediction of 301 condition onsets, reporting 8.0-10.8% absolute APS gains over prior deep models on 1.6 million patients.
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
BEHRT: Transformer for Electronic Health Records
BEHRT applies a transformer to EHR sequences for multitask prediction of 301 condition onsets, reporting 8.0-10.8% absolute APS gains over prior deep models on 1.6 million patients.