1. OAR@UM
  2. Institute of Linguistics and Language Technology
  3. Scholarly Works - InsLin
Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/22135
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHunter, James
dc.contributor.authorFreer, Yvonne
dc.contributor.authorGatt, Albert
dc.contributor.authorLogie, Robert
dc.contributor.authorMcIntosh, Neil
dc.contributor.authorvan der Meulen, Marian
dc.contributor.authorPortet, Francois
dc.contributor.authorReiter, Ehud
dc.contributor.authorSripada, Somayajulu
dc.contributor.authorSykes, Cindy
dc.date.accessioned2017-09-30T17:40:59Z
dc.date.available2017-09-30T17:40:59Z
dc.date.issued2008
dc.identifier.citationHunter, J., Freer, Y., Gatt, A., Logie, R., McIntosh, N., Van Der Meulen, M., ... & Sykes, C. (2008). Summarising complex ICU data in natural language. Amia Annual Symposium, Washington, DC. 323-327.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/22135
dc.description.abstractIt has been shown that summarizing complex multichannel physiological and discrete data in natural language (text) can lead to better decision-making in the intensive care unit (ICU). As part of the BabyTalk project, we describe a prototype system (BT-45) which can generate such textual summaries automatically. Although these summaries are not yet as good as those generated by human experts, we have demonstrated experimentally that they lead to as good decision-making as can be achieved through presenting the same data graphically.en_GB
dc.language.isoenen_GB
dc.publisherAmerican Medical Informatics Associationen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectNatural language processing (Computer science)en_GB
dc.subjectMedical informaticsen_GB
dc.subjectMedical care -- Data processingen_GB
dc.titleSummarising complex ICU data in natural languageen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.bibliographicCitation.conferencenameAMIA 2008 Symposiumen_GB
dc.bibliographicCitation.conferenceplaceWashington, DC, U.S.A., 8-12/11/2008en_GB
dc.description.reviewedpeer-revieweden_GB
Appears in Collections:Scholarly Works - InsLin

Files in This Item:
File Description SizeFormat 
aimia08.pdf183.38 kBAdobe PDFView/Open
Show simple item record Statistics


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.