TY - GEN
T1 - Summarising Complex ICU Data in Natural Language
AU - Hunter, Jim
AU - Freer, Yvonne
AU - Gatt, Albert
AU - Logie, Robert
AU - McIntosh, Neil
AU - van der Meulen, Marian
AU - Portet, Francois
AU - Reiter, Ehud Baruch
AU - Sripada, Gowri Somayajulu
AU - Sykes, Cindy
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=73949113634&partnerID=8YFLogxK
M3 - Published conference contribution
C2 - 18998961
SP - 323
EP - 327
BT - Proceedings of AMIA-2008
ER -