NDLI: ACHE: An Architecture for Clinical Hypothesis Examination

Content Provider	IEEE Xplore Digital Library
Author	Moss, L. Sleeman, D. Kinsella, J. Sim, M.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Aberdeen, Aberdeen (Moss, L.; Sleeman, D.)
Abstract	Physiological monitoring equipment can be found in many hospital settings. This allows a wide range of physiological parameters to be stored, which in turn allows clinicians and analysts to investigate a range of medical hypotheses. This paper introduces ACHE (architecture for clinical hypotheses examination), a framework specifically designed to support the preparation of such analyses. To evaluate the initial version of ACHE, a study to detect acute myocardial infarctions, was conducted with data from Glasgow Royal Infirmary's Intensive Care Unit (ICU). Initial results from the study are very encouraging and ACHE substantially reduced the time required to perform the study. A study of the same phenomena across a much larger patient dataset will be undertaken shortly.
Starting Page	158
Ending Page	160
File Size	378561
Page Count	3
File Format	PDF
ISBN	9780769531656
ISSN	10637125
DOI	10.1109/CBMS.2008.100
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-17
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomedical monitoring Time series analysis Data models Signal analysis Computer architecture Computerized monitoring Hospitals Myocardium Costs Data analysis
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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