Displaying results 1 - 3 of 3
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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… test its utility in the food safety context, we treat a co-occurrence of the same strain of bacteria (in … of a link produces uncertain data given that the co-occurrences of specific test results at different … test its utility in the food safety context, we treat a co-occurrence of the same strain of bacteria (in par- … -
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… a set of disease models (for e.g. fever or headache symp- tom in male adults is indicative of a particular dis- ease). … age-groups. But most real world disease models are more com- plex and affect multiple syndromes, or multiple age- … -
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… pairs of size = 1 and 2, the total number of such com- binations exceeding 4.3 million. The involved ana- … /NLD (Gebruik deze instellingen om Adobe PDF-documenten te maken voor kwaliteitsafdrukken op …