NDLI: A rule-based approach for the prediction of acute hypotensive episodes

Content Provider	IEEE Xplore Digital Library
Author	Mneimneh, M.A. Povinelli, R.J.
Copyright Year	2009
Description	Author affiliation: Marquette University, Milwaukee, USA (Mneimneh, M.A.; Povinelli, R.J.)
Abstract	The 2009 Physionet Computers in Cardiology Challenge is to develop an automatic technique for the prediction of acute hypotensive episodes. Such episodes if left untreated can lead to organ failure and death. However, acute hypotensive episodes can be treated depending on its cause, and if diagnosed in time. This study uses a rule-based approach for the prediction of the acute hypotensive episodes. The physionet challenge is divided into two parts. The first is the ability to distinguish between patients who have experienced acute hypotensive episodes and patients who do not. The second part of the challenge is to predict acute hypotensive episodes. The technique uses the mean arterial blood pressure signal as an indicator for predicting AHE. The records used for this challenge are from the MIMIC II database. The challenge dataset is divided into 60 records for training, 10 records for testing the first part of the challenge, and 40 records for testing the second part of the challenge. The score is calculated as the fraction of correct classifications. The final results on the challenge are 1 and 0.875 for part 1 andpart 2, respectively.
Starting Page	557
Ending Page	560
File Size	158213
Page Count	4
File Format	PDF
ISBN	9781424472819
ISSN	02766547
e-ISBN	9781424472826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Testing Cardiology Arterial blood pressure Databases
Content Type	Text
Resource Type	Article

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