ESSENCE II and the framework for evaluating syndromic surveillance systems.
about
Toward unsupervised outbreak detection through visual perception of new patterns.Individual-level space-time analyses of emergency department data using generalized additive modeling.Evaluation of syndromic algorithms for detecting patients with potentially transmissible infectious diseases based on computerised emergency-department data.Syndromic surveillance using veterinary laboratory data: algorithm combination and customization of alertsMethodological challenges to multivariate syndromic surveillance: a case study using Swiss animal health data.Visualization techniques and graphical user interfaces in syndromic surveillance systems. Summary from the Disease Surveillance Workshop, Sept. 11-12, 2007; Bangkok, Thailand.SAGES: a suite of freely-available software tools for electronic disease surveillance in resource-limited settings.Enhanced health event detection and influenza surveillance using a joint Veterans Affairs and Department of Defense biosurveillance application.Epinome - a novel workbench for epidemic investigation and analysis of search strategies in public health practiceISS--an electronic syndromic surveillance system for infectious disease in rural China.Innovative uses for syndromic surveillance.Case Finding Using Syndromic Surveillance Data During an Outbreak of Shiga Toxin-Producing Escherichia coli O26 Infections, Oregon, 2015.Proposal of a framework for evaluating military surveillance systems for early detection of outbreaks on duty areasAn informatics solution for informing care delivery of immediate public health risks to their patientsAdvanced querying features for disease surveillance systemsComparison of disease trends in the Ontario swine population using active practitioner-based surveillance and passive laboratory-based surveillance (2007-2009)Using encounters versus episodes in syndromic surveillance.An extensible framework and database of infectious disease for biosurveillance.Privacy protection versus cluster detection in spatial epidemiology.Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore.
P2860
Q30488644-EFB9D4FA-0A56-4CB5-AA3A-44086C258E98Q30532057-C737ADC1-CCE9-462C-A9CB-7611F2543810Q30664952-AAFB0524-2364-41AD-83C2-FDE0B3E0B1E8Q30717793-9EC1A275-EBAA-42A3-AB7E-A541CFD5F0AAQ31150289-B259E758-DDAE-410F-AAFF-7CA0AEBFE8A6Q33386294-2BCB069B-D4D6-4D69-92FB-E4665142192CQ33900227-90FF037F-4506-42D0-80C4-8496DE21FFEEQ34022373-7A2AE242-09C0-40FA-8B36-20EFE1F49CC7Q34584109-86588F98-9B3B-4B0F-A066-E60E4E4685E4Q34693411-4AADED0D-F33A-4F43-A564-801D6AEC9E29Q35877180-7B579D77-38DA-4826-902D-7827EB65783BQ36394114-A900AC5D-09A4-4B73-952F-19AC3890964CQ36662370-96698A96-81FC-42D1-A188-EAAE9E7863AEQ36738138-9EB0BBBD-30F0-4266-A0AF-CA29BECC94B0Q36738146-F77379C6-3B59-40ED-8F4F-0F4D6C95C5BCQ37011887-71ABF7E9-6D1F-41ED-9BE0-FBADC5E43DB9Q37432226-E06E984F-FCB7-4364-AD30-80B408889CA4Q38430304-CA86B845-9A0D-48A6-962E-6AFD3C3A2947Q51932179-A0B3732E-8885-4EC6-A524-34D5BB828407Q55433766-F936A245-6B74-46ED-80F1-7348514C7A2B
P2860
ESSENCE II and the framework for evaluating syndromic surveillance systems.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
2004年學術文章
@zh-hant
name
ESSENCE II and the framework for evaluating syndromic surveillance systems.
@en
ESSENCE II and the framework for evaluating syndromic surveillance systems.
@nl
type
label
ESSENCE II and the framework for evaluating syndromic surveillance systems.
@en
ESSENCE II and the framework for evaluating syndromic surveillance systems.
@nl
prefLabel
ESSENCE II and the framework for evaluating syndromic surveillance systems.
@en
ESSENCE II and the framework for evaluating syndromic surveillance systems.
@nl
P2093
P1433
P1476
ESSENCE II and the framework for evaluating syndromic surveillance systems
@en
P2093
Joseph S Lombardo
P304
P577
2004-09-01T00:00:00Z