Summarising Complex ICU Data in Natural Language

Jim Hunter (1) , Yvonne Freer (2) , Albert Gatt (1) , Robert Logie (3) , Neil Mcintosh (2) , Marian van Der Meulen (3) , François Portet (1) , Ehud Reiter (1) , Somayajulu Sripada (1) , Cindy Sykes (2)

1 CSD - Department of Computing Science - University of Aberdeen
2 Royal Infirmary of Edinburgh
3 Department of Psychology

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.

Domaines: Intelligence artificielle [cs.AI]

Jim Hunter, Yvonne Freer, Albert Gatt, Robert Logie, Neil Mcintosh, et al.. Summarising Complex ICU Data in Natural Language. AMIA Annual Symposium, Nov 2008, Washington DC, USA, United States. pp.323-327. ⟨hal-00998646⟩