AIMC Topic: Data Curation

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Automatic Annotation of French Medical Narratives with SNOMED CT Concepts.

Studies in health technology and informatics
Medical data is multimodal. In particular, it is composed of both structured data and narrative data (free text). Narrative data is a type of unstructured data that, although containing valuable semantic and conceptual information, is rarely reused. ...

Inter-Annotator Agreement and the Upper Limit on Machine Performance: Evidence from Biomedical Natural Language Processing.

Studies in health technology and informatics
Human-annotated data is a fundamental part of natural language processing system development and evaluation. The quality of that data is typically assessed by calculating the agreement between the annotators. It is widely assumed that this agreement ...

Non-Visually Performing Analytical Tasks on Statistical Charts.

Studies in health technology and informatics
This article proposes a natural language-based approach to accessibility of charts. Formal underpinnings are used to semantically annotate the constituent elements of a vector graphic to support accessing and modifying the content by natural language...

The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations.

Methods in molecular biology (Clifton, N.J.)
The Evidence and Conclusion Ontology (ECO) is a community resource for describing the various types of evidence that are generated during the course of a scientific study and which are typically used to support assertions made by researchers. ECO des...

Text Mining to Support Gene Ontology Curation and Vice Versa.

Methods in molecular biology (Clifton, N.J.)
In this chapter, we explain how text mining can support the curation of molecular biology databases dealing with protein functions. We also show how curated data can play a disruptive role in the developments of text mining methods. We review a decad...

["Big data" - large data, a lot of knowledge?].

Praxis
Since a couple of years, the term Big Data describes technologies to extract knowledge from data. Applications of Big Data and their consequences are also increasingly discussed in the mass media. Because medicine is an empirical science, we discuss ...