Summarizing Neonatal Time Series Data
نویسندگان
چکیده
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.
منابع مشابه
Diverse types of review studies based on their approach to retrieving and summarizing original findings
Background: We are living in an era in which different branches of science are growing very rapidly. Therefore, retrieving and summarizing all new valid findings on a specific subject is one of the most important priorities of scientists. The aim of the present article is to categorize different review studies within the health domain based on their approach to retrieving and summarizing ...
متن کاملPruning and Summarizing the Discovered Time Series Association Rules from Mechanical Sensor Data
Sensors are widely used in all aspects of our daily life including factories, hospitals and even our homes. Discovering time series association rules from sensor data can reveal the potential relationship between different sensors which can be used in many applications. However, the time series association rule mining algorithms usually produce rules much more than expected. It‟s hardly to unde...
متن کاملNeonatal thrombocytopenia in the NICU of our series: etiology, predisposing factors, management and short-term outcome
Background: Thrombocytopenia (TTP) is one of the most common neonatal hematological disorders. The causes of neonatal TTP are very various, leading to large differences in the clinical profile of the affected neonates. Therefore, the aim of this study was to investigate the characteristics, clinical diagnoses and short-term outcomes of neonatal TTP in Bahrami Children's Hospital. Material and ...
متن کاملSummarizing a set of time series by averaging: From Steiner sequence to compact multiple alignment
Summarizing a set of sequences is an old topic that has been revived in the last decade, due to the increasing availability of sequential datasets. The definition of a consensus object is on the center of data analysis issues, since it crystallizes the underlying organization of the data. Dynamic Time Warping (DTW) is currently the most relevant similarity measure between sequences for a large ...
متن کاملOn the Detection of Trends in Time Series of Functional Data
A sequence of functions (curves) collected over time is called a functional time series. Functional time series analysis is one of the popular research areas in which statistics from such data are frequently observed. The main purpose of the functional time series is to predict and describe random mechanisms that resulted in generating the data. To do so, it is needed to decompose functional ti...
متن کامل