Summarising Complex ICU Data in Natural Language

Jim Hunter, Yvonne Freer, Albert Gatt, Robert Logie, Neil McIntosh, Marian van der Meulen, Francois Portet, Ehud Baruch Reiter, Gowri Somayajulu Sripada, Cindy Sykes

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

10 Citations (Scopus)


It has been shown that summarizing complex multi-channel 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.
Original languageEnglish
Title of host publicationProceedings of AMIA-2008
Number of pages5
Publication statusPublished - 2008


Dive into the research topics of 'Summarising Complex ICU Data in Natural Language'. Together they form a unique fingerprint.

Cite this