Assessment of National Poison Data System Algorithms to identify Public Health Events

Detalles Bibliográficos
Autores principales: Law, Royal K., Burkom, Howard, Bronstein, Alvin, Schier, Josh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2015
Materias:
ISDS 2014 Conference Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4512338/
http://dx.doi.org/10.5210/ojphi.v7i1.5700
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author Law, Royal K.
Burkom, Howard
Bronstein, Alvin
Schier, Josh
author_facet Law, Royal K.
Burkom, Howard
Bronstein, Alvin
Schier, Josh
author_sort Law, Royal K.
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spelling pubmed-45123382015-07-27 Assessment of National Poison Data System Algorithms to identify Public Health Events Law, Royal K. Burkom, Howard Bronstein, Alvin Schier, Josh Online J Public Health Inform ISDS 2014 Conference Abstracts University of Illinois at Chicago Library 2015-02-26 /pmc/articles/PMC4512338/ http://dx.doi.org/10.5210/ojphi.v7i1.5700 Text en ISDS Annual Conference Proceedings 2014. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle ISDS 2014 Conference Abstracts
Law, Royal K.
Burkom, Howard
Bronstein, Alvin
Schier, Josh
Assessment of National Poison Data System Algorithms to identify Public Health Events
title Assessment of National Poison Data System Algorithms to identify Public Health Events
title_full Assessment of National Poison Data System Algorithms to identify Public Health Events
title_fullStr Assessment of National Poison Data System Algorithms to identify Public Health Events
title_full_unstemmed Assessment of National Poison Data System Algorithms to identify Public Health Events
title_short Assessment of National Poison Data System Algorithms to identify Public Health Events
title_sort assessment of national poison data system algorithms to identify public health events
topic ISDS 2014 Conference Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4512338/
http://dx.doi.org/10.5210/ojphi.v7i1.5700
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AT bronsteinalvin assessmentofnationalpoisondatasystemalgorithmstoidentifypublichealthevents
AT schierjosh assessmentofnationalpoisondatasystemalgorithmstoidentifypublichealthevents

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