Evaluation of natural language processing from emergency department computerized medical records for intra-hospital syndromic surveillance
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1472-6947
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Evaluation of natural language processing from emergency department computerized medical records for intra-hospital syndromic surveillance ; volume:11 ; number:1 ; day:28 ; month:7 ; year:2011 ; pages:1-13 ; date:12.2011
BMC medical informatics and decision making ; 11, Heft 1 (28.7.2011), 1-13, 12.2011
- Creator
-
Gerbier, Solweig
- Contributor
-
Yarovaya, Olga
Gicquel, Quentin
Millet, Anne-Laure
Smaldore, Véronique
Pagliaroli, Véronique
Darmoni, Stefan
Metzger, Marie-Hélène
SpringerLink (Online service)
- DOI
-
10.1186/1472-6947-11-50
- URN
-
urn:nbn:de:1111-201607212709
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:55 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Gerbier, Solweig
- Yarovaya, Olga
- Gicquel, Quentin
- Millet, Anne-Laure
- Smaldore, Véronique
- Pagliaroli, Véronique
- Darmoni, Stefan
- Metzger, Marie-Hélène
- SpringerLink (Online service)
Other Objects (12)
Emergency department syndromic surveillance systems: a systematic review
Redefining syndromic surveillance
Syndromic surveillance : made in Europe
Time series modeling for syndromic surveillance
Early detection of influenza outbreaks using the DC Department of Health's syndromic surveillance system
Establishing a nationwide emergency department-based syndromic surveillance system for better public health responses in Taiwan
Beyond traditional surveillance: applying syndromic surveillance to developing settings – opportunities and challenges
Unsupervised clustering of wildlife necropsy data for syndromic surveillance
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance
Recursive least squares background prediction of univariate syndromic surveillance data
Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts
SCM: a practical tool to implement hospital-based syndromic surveillance
Emergency department syndromic surveillance systems: a systematic review
Redefining syndromic surveillance
Syndromic surveillance : made in Europe
Time series modeling for syndromic surveillance
Early detection of influenza outbreaks using the DC Department of Health's syndromic surveillance system
Establishing a nationwide emergency department-based syndromic surveillance system for better public health responses in Taiwan
Beyond traditional surveillance: applying syndromic surveillance to developing settings – opportunities and challenges
Unsupervised clustering of wildlife necropsy data for syndromic surveillance
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance
Recursive least squares background prediction of univariate syndromic surveillance data
Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts
SCM: a practical tool to implement hospital-based syndromic surveillance
Emergency department syndromic surveillance systems: a systematic review
Redefining syndromic surveillance
Syndromic surveillance : made in Europe
Time series modeling for syndromic surveillance
Early detection of influenza outbreaks using the DC Department of Health's syndromic surveillance system
Establishing a nationwide emergency department-based syndromic surveillance system for better public health responses in Taiwan
Beyond traditional surveillance: applying syndromic surveillance to developing settings – opportunities and challenges
Unsupervised clustering of wildlife necropsy data for syndromic surveillance
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance
Recursive least squares background prediction of univariate syndromic surveillance data
Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts