Displaying results 1 - 6 of 6
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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… at roughly the same time, as a link in the graph spanning all of the USDA controlled establishments. Now, given the … at roughly the same time, as a link in the graph spanning all of the USDA controlled establishments. Now, given the … side of the graph, that is for shorter subsets of the top ranked establishments. That actually brings about … -
T-Cube as an Enabling Technology in Surveillance Applications
Content Type: Abstract
T-Cube is especially useful for rapidly retrieving responses to ad-hoc queries against large datasets of additive time series labeled using a set of categorical attributes. It can be used as a general tool to support any task… read more… The application called for a massive screening through all combinations of attribute-value pairs of size = 1 and 2, … including the time necessary to retrieve and aggregate all the involved time series, compute and store the test … voor kwaliteitsafdrukken op desktopprinters en proofers. De gemaakte PDF-documenten kunnen worden geopend met Acrobat … -
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… We apply principal component analysis to this, and the top p components are considered further. These p components … the task, we perform an exhaustive search across all pairs of CuSum event types (inputs) and alert types … purpose) Fig. 1. Increased frequency of CuSum events (top) typically precedes the real apnea alerts (bottom). … -
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… long sequences requires stability of the dynamics matrix, i.e. that the magnitude of its highest eigenvalue be at most … counts of 22 different drug categories aggregated over all 29 zip codes in Pitts- burgh, PA, and Figure 1(B) plots … Figure 1. (A) 22-dimensional data corresponding to dis- tinct drug categories aggregated over all zip codes in … -
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… predict acute hypotension. In IEEE ICASSP; 2010:550�3. 4. de Chazal P, Reilly RB. A patient-adapting heartbeat … permitting all non-commercial use, distribution, and reproduction in … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 … -
Multivariate Time Series Analyses Using Primitive Univariate Algorithms
Content Type: Abstract
Time series analysis is very popular in syndromic surveillance. Mostly, public health officials track in the order of hundreds of disease models or univariate time series daily looking for signals of disease outbreaks. These time series can be… read more… syndromic systems only monitor state level aggregates for all syndromes or a few combinations of syndromes, gender and … symp- tom in male adults is indicative of a particular dis- ease). Based on the past experience public health … dromic systems only monitor state level aggregates for all syndromes or a few combinations of syn- dromes, gender …