Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time
- URL: http://arxiv.org/abs/2005.10865v1
- Date: Thu, 21 May 2020 19:32:04 GMT
- Title: Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time
- Authors: Benjamin E. Nye, Ani Nenkova, Iain J. Marshall, Byron C. Wallace
- Abstract summary: We introduce Trialstreamer, a living database of clinical trial reports.
The system extracts descriptions of trial participants, the treatments compared in each arm, and which outcomes were measured.
In addition to summarizing individual trials, these extracted data elements allow automatic synthesis of results across many trials on the same topic.
- Score: 35.15631358690484
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We introduce Trialstreamer, a living database of clinical trial reports. Here
we mainly describe the evidence extraction component; this extracts from
biomedical abstracts key pieces of information that clinicians need when
appraising the literature, and also the relations between these. Specifically,
the system extracts descriptions of trial participants, the treatments compared
in each arm (the interventions), and which outcomes were measured. The system
then attempts to infer which interventions were reported to work best by
determining their relationship with identified trial outcome measures. In
addition to summarizing individual trials, these extracted data elements allow
automatic synthesis of results across many trials on the same topic. 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. We make all code and models freely
available alongside a demonstration of the web interface.
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