Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Liane Ramac-Thomas"'
Autor:
Rekha Holtry, Cynthia Yund, Steven M. Babin, Zaruhi R. Mnatsakanyan, Howard Burkom, Liane Ramac-Thomas
Publikováno v:
Statistics in Medicine. 30:470-479
This paper describes the problem of public health monitoring for waterborne disease outbreaks using disparate evidence from health surveillance data streams and environmental sensors. We present a combined monitoring approach along with examples from
Autor:
Julie A. Pavlin, Christopher Cuellar, Joseph S. Lombardo, Rhonda A. Lizewski, Yevgeniy Elbert, Liane Ramac-Thomas, Howard Burkom
Publikováno v:
Online Journal of Public Health Informatics
The on-site beta test of system upgrade to the Early Notification of community-based Epidemics (ESSENCE) allowed user feedback to the development team to aid in the evaluation of an analytic combination of weighted clinical and syndromic evidence, kn
Autor:
Sheri Lewis, Anna L. Buczak, Steven M. Babin, Phillip Koshute, Yevgeniy Elbert, Erhan Guven, Liane Ramac-Thomas, Enrique A. Tayag, John Mark Velasco, Vito G. Roque, In-Kyu Yoon, Benjamin Baugher
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 8, Iss 4, p e2771 (2014)
PLoS Neglected Tropical Diseases
PLoS Neglected Tropical Diseases
Background Accurate prediction of dengue incidence levels weeks in advance of an outbreak may reduce the morbidity and mortality associated with this neglected disease. Therefore, models were developed to predict high and low dengue incidence in orde
Autor:
Steven M. Babin, Benjamin Baugher, Sheri Lewis, Yevgeniy Elbert, Erhan Guven, Liane Ramac-Thomas, Anna L. Buczak
Publikováno v:
Online Journal of Public Health Informatics
Advanced techniques in fuzzy association rule data mining and integrating evidence from multiple sources are used to predict levels of influenza incidence several weeks in advance and display results on a map in order to help public health profession
Publikováno v:
Online Journal of Public Health Informatics
To manage an increasingly complex data environment, a fusion module based on Bayesian networks (BN) was developed for the Dept. of Defense (DoD) Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE). Subsequ
Publikováno v:
Online Journal of Public Health Informatics
Objective The project involves analytic combination of multiple evidence sources to monitor health at hundreds of care facilities. A demonstration module featuring a population-based Bayes Network [1] was refined and expanded for application in the D
Autor:
Yevgeniy Elbert, Liane Ramac-Thomas, Chong Lee, Howard Burkom, Kenneth L. Cox, Richard Seagraves, Wayne Loschen
Publikováno v:
Emerging Health Threats Journal. 4
Autor:
Yevgeniy Elbert, Erhan Guven, Liane Ramac-Thomas, Benjamin Baugher, Sheri Lewis, Steven M. Babin, Anna L. Buczak
Publikováno v:
BMC Medical Informatics and Decision Making
Background Malaria is the world’s most prevalent vector-borne disease. Accurate prediction of malaria outbreaks may lead to public health interventions that mitigate disease morbidity and mortality. Methods We describe an application of a method fo
Autor:
Mangiameli, Giulia1 giulia.mangiameli@biomedcentral.com
Publikováno v:
BMC Medical Informatics & Decision Making. 2015, Vol. 15 Issue 1, p1-6. 6p.
Publikováno v:
Emerging Health Threats. 2011, Vol. 4, p1-167. 167p.