Hair, K;
Sena, ES;
Wilson, E;
Currie, G;
Macleod, M;
Bahor, Z;
Sena, C;
... Drury, B; + view all
(2021)
Building a Systematic Online Living Evidence Summary of COVID-19 Research.
Journal of EAHIL
, 17
(2)
pp. 21-26.
10.32384/jeahil17465.
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Abstract
Throughout the global coronavirus pandemic, we have seen an unprecedented volume of COVID-19 researchpublications. This vast body of evidence continues to grow, making it difficult for research users to keep up with the pace of evolving research findings. To enable the synthesis of this evidence for timely use by researchers, policymakers, and other stakeholders, we developed an automated workflow to collect, categorise, and visualise the evidence from primary COVID-19 research studies. We trained a crowd of volunteer reviewers to annotate studies by relevance to COVID-19, study objectives, and methodological approaches. Using these human decisions, we are training machine learning classifiers and applying text-mining tools to continually categorise the findings and evaluate the quality of COVID-19 evidence.
| Type: | Article |
|---|---|
| Title: | Building a Systematic Online Living Evidence Summary of COVID-19 Research |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.32384/jeahil17465 |
| Publisher version: | https://doi.org/10.32384/jeahil17465 |
| Language: | English |
| Additional information: | © 2021 Journal of the European Association for Health Information and Libraries. This work is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | COVID-19; evidence synthesis; machine learning; web application; database |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10136539 |
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