title: Summarising complex ICU data in natural language.
abstract: 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.
authors.affiliation: Department of Computing Science, University of Aberdeen, UK.
authors.forename: Jim
authors.initials: J
authors.lastname: Hunter
authors.forename: Yvonne
authors.initials: Y
authors.lastname: Freer
authors.forename: Albert
authors.initials: A
authors.lastname: Gatt
authors.forename: Robert
authors.initials: R
authors.lastname: Logie
authors.forename: Neil
authors.initials: N
authors.lastname: McIntosh
authors.forename: Marian
authors.initials: M
authors.lastname: van der Meulen
authors.forename: Francois
authors.initials: F
authors.lastname: Portet
authors.forename: Ehud
authors.initials: E
authors.lastname: Reiter
authors.forename: Somayajulu
authors.initials: S
authors.lastname: Sripada
authors.forename: Cindy
authors.initials: C
authors.lastname: Sykes
mesh_terms: D003422:Critical Care / Q000379:methods*; D003626:Data Display; D003660:Decision Support Systems, Management / Q000458:organization & administration; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D033181:Information Dissemination / Q000379:methods*; D008991:Monitoring, Physiologic / Q000379:methods*; D009323:Natural Language Processing; D014584:User-Computer Interface