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Title: Summarising complex ICU data in natural language
Authors: Hunter, James
Freer, Yvonne
Gatt, Albert
Logie, Robert
McIntosh, Neil
van der Meulen, Marian
Portet, Francois
Reiter, Ehud
Sripada, Somayajulu
Sykes, Cindy
Keywords: Natural language processing (Computer science)
Medical informatics
Medical care -- Data processing
Issue Date: 2008
Publisher: American Medical Informatics Association
Citation: Hunter, 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.
Abstract: It 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.
Appears in Collections:Scholarly Works - InsLin

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