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Easing semantically enriched information retrieval—An interactive semi-automatic annotation system for medical documents by Theresia Gschwandtner; Katharina Kaiser; Patrick Martini; Silvia Miksch is a Computer Science article available to read on EtoBox.

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Mapping medical concepts from a terminology system to the concepts in the narrative text of a medical document is necessary to provide semantically accurate information for further processing steps. The MetaMap Transfer (MMTx) program is a semantic annotation system that generates a rough mapping of concepts from the Unified Medical Language System (UMLS) Metathesaurus to free medical text, but this mapping still contains erroneous and ambiguous bits of information. Since manually correcting the mapping is an extremely cumbersome and time-consuming task, we have developed the MapFace editor.The editor provides a convenient way of navigating the annotated information gained from the MMTx output, and enables users to correct this information on both a conceptual and a syntactical level, and thus it greatly facilitates the handling of the MMTx program. Additionally, the editor provides enhanced visualization features to support the correct interpretation of medical concepts within the text. We paid special attention to ensure that the MapFace editor is an intuitive and convenient tool to work with. Therefore, we recently conducted a usability study in order to create a well founded ba

Who reads Easing semantically enriched information retrieval—An interactive semi-automatic annotation system for medical documents?

Author

Theresia Gschwandtner; Katharina Kaiser; Patrick Martini; Silvia Miksch

Publisher

Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 1071-5819)

Published

2010

Language

EN

Field

Computer Science (Physical Sciences)