Clinical Information Retrieval with Split-layer Language Models

نویسندگان

  • Stephen Wu
  • Dongqing Zhu
  • William Hersh
  • Hongfang Liu
چکیده

With the increasing prevalence of electronic medical records (EMRs), search technologies for these systems hold significant promise for improving patient and population care. We present a split-layer language model that embeds linguistic layers from existing NLP systems in retrieving medical documents. On the cohort identification task of the TREC Medical Records Track, our approach shows improvement over baselines, with the best performance achieved by mixing in all tested layers of NLP artifacts.

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تاریخ انتشار 2013