An adaptive prediction and detection algorithm for multistream syndromic surveillance.

ABSTRACT:

Background

Surveillance of Over-the-Counter pharmaceutical (OTC) sales as a potential early indicator of developing public health conditions, in particular in cases of interest to biosurvellance, has been suggested in the literature. This paper is a continuation of a previous study in which we formulated the problem of estimating clinical data from OTC sales in terms of optimal LMS linear and Finite Impulse Response (FIR) filters. In this paper we extend our results to predict clinical data multiple steps ahead using OTC sales as well as the clinical data itself.

Methods

The OTC data are grouped into a few categories and we predict the clinical data using a multichannel filter that encompasses all the past OTC categories as well as the past clinical data itself. The predicti

SUBMITTER: Najmi AH 

PROVIDER: S-EPMC1266371 | biostudies-literature | 2005 Oct

REPOSITORIES: biostudies-literature