Displaying results 1 - 4 of 4
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Learning Stable Multivariate Baseline Models for Outbreak Detection
Content Type: Abstract
We propose a novel technique for building generative models of real-valued multivariate time series data streams. Such models are of considerable utility as baseline simulators in anomaly detection systems. The proposed algorithm, based on Linear… read more… sequences of realistic baselines using small samples of training data. Document … sequences of realistic baselines using small samples of training data. BACKGROUND Time series analysis is an … In both cases, our method is able to use very little training data to learn a stable model that captures the … -
Real-time Adaptive Monitoring of Vital Signs for Clinical Alarm Preemption
Content Type: Abstract
Cardiovascular event prediction has long been of interest in the practice of intensive care. It has been approached using signal-processing of vital signs [1-4], including the use of graphical models [3,4]. Our approach is novel in making data… read more… and in real time, without requiring patient-specific training data if the patient-specific feedback signal is … and in real time, without requiring patient-specific training data if the patient-specific feedback signal is … subsampling, using data from the patients held out of the training set. The proposed approach brings the AUC metric … -
Mining Intensive Care Vitals for Leading Indicators of Adverse Health Events
Content Type: Abstract
The status of each Intensive Care Unit (ICU) patient is routinely monitored and a number of vital signs are recorded at sub-second frequencies which results in large amounts of data. We propose an approach to transform this stream of raw vital… read more… each type of these automatically extracted events using training data, which contain actual health alerts, in … -
Using AFDL Algorithm to Estimate Risk of Positive Outcomes of Microbial Tests at Food Establishments
Content Type: Abstract
One of the common tasks faced by the U.S. Department of Agriculture (USDA) food safety analysts is to estimate the risk of observing positive outcomes of microbial tests of food samples collected at the slaughter and food… read more… Montevideo over six months following two years worth of training data. Figure below presents lift charts summarizing …