Data Fusion

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Authors
  1. Davies, R.
  2. Lundahl, S.
Corporate Authors
Defence Research and Development Canada, Centre for Security Science, Ottawa ON (CAN);University of Ottawa, Heart Institute (CAN);AMITA Corporation, Ottawa ON (CAN)
Abstract
Data Fusion is a successfully completed Research and Development project funded by The Chemical, Biological, Radiological-Nuclear, and Explosives (CBRNE) Research and Technology Initiative (CRTI). Data Fusion focused on creating a reusable framework for Syndromic Surveillance solutions. It developed and delivered an adaptive process framework and software framework in conjunction with two domain-specific prototypes. These frameworks are extensible and can be configured to other domains and problems that could benefit from surveillance solutions. The project team comprised of healthcare and technical partners, selected two disparate and important healthcare problems that could benefit from automated surveillance, and developed a solution prototype for each: 1) the detection of serious in-hospital disease outbreaks, and 2) the surveillance of harm related to illicit substance abuse. The goal of each prototype is to enhance early detection and present relevant information to responders to assist in their decision making process. The prototypes were tested on a retrospective dataset from multiple sources within the electronic health record and were shown to be effective and useful. The prototypes and process framework integrate technological advances developed by the Data Fusion partners: text classification from NRC-ICT Interactive Information Group, data fusion techniques and specialized algorithms from DRDC Valcartier, data integration and management by AMITA Corporation, stat

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Keywords
data fusion;syndromic surveillance;public health;preparedness
Report Number
DRDC-RDDC-2014-C142 — Contract Report
Date of publication
01 May 2014
Number of Pages
67
DSTKIM No
CA039357
CANDIS No
800305
Format(s):
Electronic Document(PDF)

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