Targeted-behrt: deep learning for observational causal inference on longitudinal electronic health records

HIGHLIGHTS

• who: Manuscript received August et al. from the Martin School (OMS), University of OxfordThe work of and have published the paper: Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records, in the Journal: (JOURNAL) of 31/Dec/2015
• what: The authors investigate modeling of an RCT-established association: the effect of classes of antihypertensive incident cancer risk. The authors develop a transformer-based model targeted bidirectional EHR transformer (T-BEHRT) coupled with doubly robust estimation to estimate average risk ratio (RR). The authors compare the model to benchmark statistical and deep . . .
  

   

  

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