Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations

no code implementations • 7 Oct 2020 • Benjamin E. Nye, Jay DeYoung, Eric Lehman, Ani Nenkova, Iain J. Marshall, Byron C. Wallace

Here we consider the end-to-end task of both (a) extracting treatments and outcomes from full-text articles describing clinical trials (entity identification) and, (b) inferring the reported results for the former with respect to the latter (relation extraction).

Decision Making Relation Extraction

Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time

1 code implementation • ACL 2020 • Benjamin E. Nye, Ani Nenkova, Iain J. Marshall, Byron C. Wallace

We apply the system at scale to all reports of randomized controlled trials indexed in MEDLINE, powering the automatic generation of evidence maps, which provide a global view of the efficacy of different interventions combining data from all relevant clinical trials on a topic.