tailieunhanh - Báo cáo khoa học: "Summarizing Neonatal Time Series Data"

We describe our investigations in generating textual summaries of physiological time series data to aid medical personnel in monitoring babies in neonatal intensive care units. Our studies suggest that summarization is a communicative task that requires data analysis techniques for determining the content of the summary. We describe a prototype system that summarizes physiological time series. | Summarizing Neonatal Time Series Data Somayajulu G. Sripada Ehud Reiter Jim Hunter and Jin Yu Department of Computing Science University of Aberdeen Aberdeen . ssripada ereiter jhunter jyu @ Abstract We describe our investigations in generating textual summaries of physiological time series data to aid medical personnel in monitoring babies in neonatal intensive care units. Our studies suggest that summarization is a communicative task that requires data analysis techniques for determining the content of the summary. We describe a prototype system that summarizes physiological time series. 1 Introduction Time series data is ubiquitous - any measurement humans make over a period of time produces a time series. We are building a system to summarize physiological times series data such as heart rate and blood pressure measured in neonatal intensive care units. 2 Background The SumTime project aims to develop generic techniques to produce textual summaries of time series data Sripada et al 2001 . We initially worked in two domains meteorology and gas turbines. In meteorology we generate textual weather forecasts from weather data such as wind speed wind direction and wave heights. In gas turbines we generate textual summaries of unexpected patterns in sensor data such as exhaust temperature liquid fuel flow and turbine speed. In each of these domains we are working with industrial collaborators and have built prototype systems. Using the experience from both these domains we have now started working on physiological time series data in collaboration with Neonate Ewing et al 2002 project. The main objective of NEONATE has been to produce a decision support system for the medical personnel working in the neonatal intensive care unit NICU . In the NEONATE project a research nurse has been employed to collect data from the neonatal intensive care unit at Simpson Maternity Hospital Edinburgh using a software tool Baby Watch Ewing et al 2002 . Physiological