about
Crowdsourcing in biomedicine: challenges and opportunitiesWikipedia usage estimates prevalence of influenza-like illness in the United States in near real-timeGlobal disease monitoring and forecasting with WikipediaA systematic review of studies on forecasting the dynamics of influenza outbreaksBiosurveillance enterprise for operational awareness, a genomic-based approach for tracking pathogen virulenceReassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic ScalesEvaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative AnalysisEthical Challenges of Big Data in Public HealthBig data need big theory tooDisease surveillance based on Internet-based linear models: an Australian case study of previously unmodeled infection diseasesEpiCaster: An Integrated Web Application For Situation Assessment and Forecasting of Global EpidemicsAccurate estimation of influenza epidemics using Google search data via ARGOCombining Search, Social Media, and Traditional Data Sources to Improve Influenza SurveillanceAge-related differences in the accuracy of web query-based predictions of influenza-like illnessEstimating the secondary attack rate and serial interval of influenza-like illnesses using social mediaState of the art review: the data revolution in critical careInduced lexico-syntactic patterns improve information extraction from online medical forumsMeasuring Global Disease with Wikipedia: Success, Failure, and a Research AgendaUsing electronic health records and Internet search information for accurate influenza forecasting.Twitter as a Potential Disaster Risk Reduction Tool. Part I: Introduction, Terminology, Research and Operational Applications.Performance of eHealth data sources in local influenza surveillance: a 5-year open cohort study.Demonstrating the use of high-volume electronic medical claims data to monitor local and regional influenza activity in the US.Characterizing Influenza surveillance systems performance: application of a Bayesian hierarchical statistical model to Hong Kong surveillance dataInference of seasonal and pandemic influenza transmission dynamics.Human temperatures for syndromic surveillance in the emergency department: data from the autumn wave of the 2009 swine flu (H1N1) pandemic and a seasonal influenza outbreak.Algorithms for detecting and predicting influenza outbreaks: metanarrative review of prospective evaluations.Smartphone technology can be transformative to the deployment of lab-on-chip diagnosticsEvaluating Social Media Networks in Medicines Safety Surveillance: Two Case StudiesEmergency department and 'Google flu trends' data as syndromic surveillance indicators for seasonal influenza.Detecting the norovirus season in Sweden using search engine data--meeting the needs of hospital infection control teams.Using clinicians' search query data to monitor influenza epidemicsA case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectivesWeb search activity data accurately predict population chronic disease risk in the USA.Human factors/ergonomics implications of big data analytics: Chartered Institute of Ergonomics and Human Factors annual lecture.Promises and Pitfalls in the Use of "Big Data" for Clinical Research.The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts.Making sense of the shadows: priorities for creating a learning healthcare system based on routinely collected dataGoogle Flu Trends in Canada: a comparison of digital disease surveillance data with physician consultations and respiratory virus surveillance data, 2010-2014.Online and Social Media Data As an Imperfect Continuous Panel Survey.Big data analytics to improve cardiovascular care: promise and challenges.
P2860
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P2860
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年学术文章
@wuu
2013年学术文章
@zh
2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
@zh-my
2013年学术文章
@zh-sg
2013年學術文章
@yue
2013年學術文章
@zh-hant
name
When Google got flu wrong.
@en
When Google got flu wrong.
@nl
type
label
When Google got flu wrong.
@en
When Google got flu wrong.
@nl
prefLabel
When Google got flu wrong.
@en
When Google got flu wrong.
@nl
P356
P1433
P1476
When Google got flu wrong.
@en
P2888
P304
P356
10.1038/494155A
P407
P577
2013-02-01T00:00:00Z
P5875
P6179
1038398193