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. 2016 Sep 22;17:392. doi: 10.1186/s12859-016-1247-7

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© The Author(s). 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 1 — Example of classification of a clinical trial record towards the GBD categories. The classification process is based on text extraction from the trial record, text annotation using UMLS concepts, projection of UMLS concepts to ICD10 codes, projection of ICD10 codes to candidate GBD categories among the 28 GBD categories, and GBD classification based on the candidate GBD categories. In this example, the text annotation involved use of the WSD server for MetaMap, and no expert-based enrichment was needed