Displaying results 2689 - 2696 of 4232
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Learning Specific Detectors of Adverse Events in Multivariate Time Series
Content Type: Abstract
This paper describes how powerful detectors of adverse events manifested in multivariate series of bio-surveillance data can be learned using only a few labeled instances of such events. -
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 -
Post-vaccination rabies sero-survey in Georgia, 2015
Content Type: Abstract
Rabies is endemic in Georgia with up to 100 confirmed cases in animals per year. There is an estimated 350,000 domestic and stray dogs/cats in Georgia. The prophylactic vaccination of domestic animals against rabies was reestablished in Georgia in… read more -
Lessons Learned from a National Capitol Region Syndromic Surveillance Tabletop Exercise, Spring 2005
Content Type: Abstract
This paper describes lessons learned from a regional tabletop exercise (TTX) of the National Capital Region (NCR) Syndromic Surveillance Network, from the perspective of the Maryland Department of Health and Mental Hygiene (DHMH). -
Looking for Anthrax: Feasibility Study of Free Text Analytics for Emergency Department Syndromic Surveillance
Content Type: Abstract
The primary objective of this study is to assess the capability of an advanced text analytics tool that uses natural language processing techniques to extract important medical information collected as part of routine emergency room care (history,… read more -
Mapping Bioterrorism Agents Research Literature
Content Type: Abstract
This paper describes a research effort to map the literature of bioterrorism agents research worldwide using bibliographic analysis, content map analysis, and co-authorship analysis based on Medline data. The objectives of our research are to (a)… read more -
Maximum Entropy Models in Chief Complaint Classification
Content Type: Abstract
This paper describes a novel approach to the statistical classification of free-text chief complaints for the purpose of syndromic surveillance. -
Mental Health Emergency Department Visits in Houston: Developing a Post-Disaster Mental Health Surveillance System
Content Type: Abstract
The objective of this project was to classify and extract mental health emergency department (ED) visits from the Houston Real-time Outbreak and Disease Surveillance (RODS) system. In addition, this project will offer a