An automated, broad-based, near real-time public health surveillance system using presentations to hospital Emergency Departments in New South Wales, Australia
about
Harnessing information from injury narratives in the 'big data' era: understanding and applying machine learning for injury surveillanceComputerized "Learn-As-You-Go" classification of traumatic brain injuries using NEISS narrative dataInjury narrative text classification using factorization modelNew digital technologies for the surveillance of infectious diseases at mass gathering eventsSyndromic surveillance for influenza in the emergency department-A systematic reviewShould cities hosting mass gatherings invest in public health surveillance and planning? Reflections from a decade of mass gatherings in Sydney, Australia.Detecting and diagnosing hotspots for the enhanced management of hospital Emergency Departments in Queensland, Australia.Relationship between the population incidence of febrile convulsions in young children in Sydney, Australia and seasonal epidemics of influenza and respiratory syncytial virus, 2003-2010: a time series analysis.The impact of the February 2012 cold spell on health in Italy using surveillance data.Evaluation of alternative respiratory syndromes for specific syndromic surveillance of influenza and respiratory syncytial virus: a time series analysis.Potential for early warning of viral influenza activity in the community by monitoring clinical diagnoses of influenza in hospital emergency departments.Identifying pneumonia outbreaks of public health importance: can emergency department data assist in earlier identification?Detecting the start of an influenza outbreak using exponentially weighted moving average chartsInaccurate ascertainment of morbidity and mortality due to influenza in administrative databases: a population-based record linkage study.Can near real-time monitoring of emergency department diagnoses facilitate early response to sporadic meningococcal infection?--prospective and retrospective evaluations.Accuracy of automatic syndromic classification of coded emergency department diagnoses in identifying mental health-related presentations for public health surveillance.Emergency Medical Text Classifier: New system improves processing and classification of triage notes.Relationship between the population incidence of pertussis in children in New South Wales, Australia and emergency department visits with cough: a time series analysisAnalysis of the korean emergency department syndromic surveillance system: mass type acute diarrheal syndromeThe Indiana Public Health Emergency Surveillance System: ongoing progress, early findings, and future directions.Parechovirus Genotype 3 Outbreak among Infants, New South Wales, Australia, 2013-2014.Emergency department visits, ambulance calls, and mortality associated with an exceptional heat wave in Sydney, Australia, 2011: a time-series analysisAutomatic classification of diseases from free-text death certificates for real-time surveillanceAn outbreak of cardiovascular syndromes requiring urgent medical treatment and its association with environmental factors: an ecological study.A secure distributed logistic regression protocol for the detection of rare adverse drug eventsAcute diarrheal syndromic surveillance: effects of weather and holidays.Applying cusum-based methods for the detection of outbreaks of Ross River virus disease in Western Australia.Real-time surveillance for respiratory disease outbreaks, Ontario, CanadaDiagnosis-based emergency department alcohol harm surveillance: What can it tell us about acute alcohol harms at the population level?Enhancing Surveillance for Mass Gatherings: The Role of Syndromic Surveillance.Alerting and Surveillance Using Poisons Information Systems (ASPIS): outcomes from an international working group.Use of a syndromic surveillance system to describe the trend in cycling-related presentations to emergency departments in Sydney.Norovirus GII.4 strains and outbreaks, AustraliaCan SNOMED CT as implemented in New South Wales, Australia be used for road trauma injury surveillance in emergency departments?The 2005 Wellington influenza outbreak: syndromic surveillance of Wellington Hospital Emergency Department activity may have provided early warning.Understanding sources of variation in syndromic surveillance for early warning of natural or intentional disease outbreaks
P2860
Q28393453-F5981CF6-BE83-45D0-911B-8FEF1B9B2EBFQ28394640-E0FBD334-8A9A-4A72-BCF4-06822476ECFEQ28396009-AF004473-4D13-4CFD-98D2-C7FB62FC1157Q28649751-4A537377-EEE8-454C-8AF6-8284812363A1Q30220497-BCDCB539-E273-435E-B92C-0989456270F4Q30227599-D0D8E753-C9BB-439B-B6A4-6E408FE49F39Q30356512-3AE8B841-BA74-4032-9C3C-260DF6270103Q30408657-D0CD6C79-6045-497D-8CA4-7F21E1F69A6AQ30620826-875BFD2D-C538-49AC-9C78-753C180106BAQ30924367-94D51C87-AD92-44FC-9AAD-2C8A33038BFBQ33299402-512E8ECD-752C-4C1D-B6B5-21B6991141A2Q33368265-742D699C-509F-40C7-8A42-FAE38BBB16C4Q33619746-3D3D9C6D-B9B1-4F84-8103-6EA678C7673DQ33686093-7FA3CA67-24DF-4F36-8D34-40541F2F551AQ33729813-BB7AA8AA-6C7E-40ED-8EC4-147E24464E0DQ34256587-2662EDF2-768C-4762-A5F9-BC9C1C4C164CQ34456515-BDC335E8-58B2-4126-89EA-65318C27C14CQ34640478-833D5AF9-0DE6-4070-9F73-56FC89D49317Q34951593-4C849D97-0C00-4AAA-8EBA-525DAF8F2602Q35725241-6DAAE1E7-D779-4054-B7C6-F3A1DFC25D28Q35780224-82083CDB-D78B-4B5E-8396-2096D0732D88Q35797688-ECD8C514-CB99-4997-8B30-5C8C4EE54AF5Q35853559-76C81C08-873A-47D2-85C4-FF1FA6F35F89Q36402083-98FD82CC-2547-4F8D-A367-0DC620A68C4CQ36771100-178A7929-1752-4DE8-AAD7-4FB9B54F6E77Q36784117-C6575DB5-F584-4404-A55F-1093E4BF1060Q36889700-A97DD54C-4F67-4AFC-AFB7-9FFE99A9E1E8Q37203785-F77470E7-CB7B-4F3A-8A04-C33A0EEC0880Q37461874-BA109398-5DA7-4015-AF79-872B69E80E01Q40141726-6B2BBB76-57C6-465E-A977-B9BF48C35056Q40212957-BD0EA236-103C-493D-8DC9-D8CADC630BDCQ40837202-A3531436-AA02-46D6-AC65-4781B58CE8BCQ42766290-7D9C1F5B-BB7C-49CE-A7B5-75667453E8F6Q43586137-F9F2FB5A-65A5-46EE-9CA7-A30167D36020Q46579941-29ED9192-3844-43CA-8D25-C10FD84A3B40Q57194199-ABBD37DC-BE88-4F95-B3A6-E290BC615FE9
P2860
An automated, broad-based, near real-time public health surveillance system using presentations to hospital Emergency Departments in New South Wales, Australia
description
2005 nî lūn-bûn
@nan
2005 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
An automated, broad-based, nea ...... in New South Wales, Australia
@ast
An automated, broad-based, nea ...... in New South Wales, Australia
@en
An automated, broad-based, nea ...... in New South Wales, Australia
@nl
type
label
An automated, broad-based, nea ...... in New South Wales, Australia
@ast
An automated, broad-based, nea ...... in New South Wales, Australia
@en
An automated, broad-based, nea ...... in New South Wales, Australia
@nl
prefLabel
An automated, broad-based, nea ...... in New South Wales, Australia
@ast
An automated, broad-based, nea ...... in New South Wales, Australia
@en
An automated, broad-based, nea ...... in New South Wales, Australia
@nl
P2093
P2860
P921
P356
P1433
P1476
An automated, broad-based, nea ...... in New South Wales, Australia
@en
P2093
Clayton Chiu
David J Muscatello
Jill Kaldor
Louisa Jorm
Patricia Correll
P2860
P2888
P356
10.1186/1471-2458-5-141
P407
P50
P577
2005-12-22T00:00:00Z
P5875
P6179
1007349278