Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/22135
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. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/22135 |
Appears in Collections: | Scholarly Works - InsLin |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
aimia08.pdf | 183.38 kB | Adobe PDF | View/Open |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.