منابع مشابه
Modeling Baseline Shifts in Multivariate Disease Outbreak Detection
Methods Existing multivariate algorithms only model disease-relevant data streams (e.g., anti-fever medication sales or patient visits with constitutional syndrome for detection of flu outbreak). On the contrary, we also incorporate a non-disease-relevant data stream as a control factor. We assume that the counts from all data streams follow a Multinomial distribution. Given this distribution, ...
متن کاملLearning Stable Multivariate Baseline Models for Outbreak Detection
OBJECTIVE 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 Dynamical Systems (LDS) [1], learns stable parameters efficiently while yielding more accurate results than previously known methods. The re...
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Introduction Production animal health syndromic surveillance (PAHSyS) data are varied: there may be standardized ratios, proportions, counts of adverse events, categorical data and even qualitative ‘intelligence’ that may need to be aggregated up a hierarchy. PAHSyS provides some unique challenges for event detection. Livestock populations are made up of many subpopulations which are constantly...
متن کاملBiosurveillance and Outbreak Detection
Faced with the very real threat of bioterrorism, the critical need for early detection of an outbreak has shortened the time frame for major enhancements to our public health infrastructure. The early detection of covert biological attacks requires real time data streams revealing of the health of the population, as well as novel methods to detect abnormalities.
متن کاملMultivariate Spatial Outlier Detection
A spatial outlier is a spatially referenced object whose non-spatial attribute values are significantly different from the values of its neighborhood. Identification of spatial outliers can lead to the discovery of unexpected, interesting, and useful spatial patterns for further analysis. Previous work in spatial outlier detection focuses on detecting spatial outliers with a single attribute. I...
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ژورنال
عنوان ژورنال: Journal of Applied Statistics
سال: 2012
ISSN: 0266-4763,1360-0532
DOI: 10.1080/02664763.2011.584522