When referencing this data, please cite:
Please also include the standard citation for PhysioNet:
The Concept Unique Identifier (CUI)-less database contains a corpus of "CUI-less" concepts taken from the SemEval2015 Task 14 that have been assigned CUIs. The annotation process allows assignment of CUIS from any Unified Medical Language System (UMLS) semantic group and compositional normalization using more than one CUI per disease entity. Concepts are mapped to SNOMED CT as represented in the September 2016 version found in Unified Medical Language System (UMLS) 2016AB.
We annotated 5397 disorder mentions from the ShARe corpus to SNOMED CT that were previously normalized as “CUI-less” in the “SemEval-2015 Task 14” shared task because they lacked a pre-coordinated mapping. Unlike the previous normalization method, we do not restrict concept mappings to a particular set of the Unified Medical Language System (UMLS) semantic types and allow normalization to occur to multiple UMLS Concept Unique Identifiers (CUIs). We computed annotator agreement and assessed semantic coverage with this method. See the referenced paper for more details.
The development CUILESS_DEV.tar.gz and training CUILESS_TRAIN.tar.gz data sets consist of pipe delimited data files in the same format as the SemEval2015-Task 14 (http://alt.qcri.org/semeval2015/task14/index.php?id=data-and-tools) and shown below:
report name|disorder-span|cui|Norm_NI|Cue_NI|Norm_SC|Cue_SC|Norm_UI|Cue_UI| Norm_CC|Cue_CC|Norm_SV|Cue_SV|Norm_CO|Cue_CO|Norm_GC|Cue_GC|Norm_BL|Cue_BL| Norm_DT|Norm_TE|Cue_TE
The only difference is that the "cui" column can consist of one or more cuis separated by spaces.
Clinical text is not distributed in this corpus. Interested parties can download the original clinical text and sign the Data Usage Agreement as outlined in: http://alt.qcri.org/semeval2015/task14/index.php?id=data-and-tools. This dataset is free to download provide by interested parties provided the interested agrees not to redistribute the data or attempt to re-identify patients in the dataset.
John D Osborne [josborne (at) uabmc (dot) edu]
Name Last modified Size Description
Parent Directory - semanticly_similiar_concept_sets.txt 2018-01-19 16:20 34K SHA256SUMS 2018-08-30 16:37 424 SHA1SUMS 2018-08-30 16:37 304 MD5SUMS 2018-08-30 16:37 264 DOI 2018-08-29 16:32 19 CUILESS_TRAIN.tar.gz 2018-01-19 16:20 75K CUILESS_DEV.tar.gz 2018-01-19 16:20 39K
If you would like help understanding, using, or downloading content, please see our Frequently Asked Questions.
If you have any comments, feedback, or particular questions regarding this page, please send them to the webmaster.
Comments and issues can also be raised on PhysioNet's GitHub page.
Updated Friday, 28 October 2016 at 16:58 EDT