Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Christopher Cuellar"'
Autor:
Michael Smith, Erin Acquesta, Arlo Ames, Alycia Carey, Christopher Cuellar, Richard Field, Trevor Maxfield, Scott Mitchell, Blake Moss, Elizabeth Morris, Megan Nyre-Yu, Ahmad Rushdi, Mallory Stites, Charles Smutz, Xin Zhou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e38e84fe0a7033c9a91b286ab4ff7bf2
https://doi.org/10.2172/1820253
https://doi.org/10.2172/1820253
Autor:
Karin M. Butler, Denis Bueno, Michelle Leger, Julian Tuminaro, Michael Joseph Haass, Geoffrey Reedy, Timothy Loffredo, Christopher Cuellar
Publikováno v:
Human Interface and the Management of Information. Visual Information and Knowledge Management ISBN: 9783030226596
HCI (4)
HCI (4)
Vulnerability analysts protecting software lack adequate tools for understanding data flow in binaries. We present a case study in which we used human factors methods to develop a taxonomy for understanding data flow and the visual representations ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fb600dcfa8f297d761774d6c4b17d44
https://doi.org/10.1007/978-3-030-22660-2_12
https://doi.org/10.1007/978-3-030-22660-2_12
Autor:
Laura E. Matzen, Alessandro Orso, Ravi Mangal, Julian Tuminaro, Vivian Nguyen, Karin M. Butler, John Stasko, Geoffrey Reedy, Michael J. Haas, Andrew T. Wilson, Timothy Loffredo, Michelle Leger, Matthew Crepeau, Mallory C. Stites, Christopher Cuellar, Denis Bueno, Alex Godwin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef1b11e3a2882f3857c36f74f85838bd
https://doi.org/10.2172/1529591
https://doi.org/10.2172/1529591
Autor:
Wayne Loschen, Christopher Cuellar
Publikováno v:
Online Journal of Public Health Informatics
This presentation will detail the incorporation, usage, and complications for inclusion of Census ZCTA based data with patient health records. Approaches to meaningful categorization will be discussed and potential usefulness described. Examples will
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2383796fc85e257b8a13025220b665f9
http://europepmc.org/articles/PMC4512449
http://europepmc.org/articles/PMC4512449
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2be17aa0d27f095d8f8412137f5e9e3
http://europepmc.org/articles/PMC4050805
http://europepmc.org/articles/PMC4050805
Autor:
Julie A. Pavlin, Jean-Paul Chretien, Christopher Cuellar, Yevgeniy Elbert, Joseph S. Lombardo
Publikováno v:
Online Journal of Public Health Informatics
The objective of this concept is to combine evidence from multiple sources of data, some in real-time and others at lower reception intervals in order to develop a real-time surveillance capability.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae4ca7475d952bbd5343efda2711055d
https://doi.org/10.5210/ojphi.v6i1.5047
https://doi.org/10.5210/ojphi.v6i1.5047
Autor:
Joseph S. Lombardo, Rhonda A. Lizewski, Yevgeniy Elbert, Christopher Cuellar, Howard Burkom, Julie A. Pavlin
Publikováno v:
Online Journal of Public Health Informatics
While other surveillance systems may only use death and admissions as severity indicators, these serious events may overshadow the more subtle severity signals based on appointment type, disposition from an outpatient setting, and whether that patien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae9db0360ba931411f065c5351fac0a9
https://doi.org/10.5210/ojphi.v6i1.5190
https://doi.org/10.5210/ojphi.v6i1.5190
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4675aacb86a4e93545d1e73c076ac948
https://doi.org/10.5210/ojphi.v6i1.5201
https://doi.org/10.5210/ojphi.v6i1.5201
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e56e49a230a7c4746650e818366fd401
https://doi.org/10.5210/ojphi.v5i1.4413
https://doi.org/10.5210/ojphi.v5i1.4413