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.
Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM).Journal of Biomedical Informatics
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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.