Big data. The parable of Google Flu: traps in big data analysis.
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On the Internet of Things, smart cities and the WHO Healthy CitiesAnalyzing Big Data in Psychology: A Split/Analyze/Meta-Analyze ApproachPopulation Size Predicts Lexical Diversity, but so Does the Mean Sea Level - Why It Is Important to Correctly Account for the Structure of Temporal DataThe use of google trends in health care research: a systematic reviewBig data for bipolar disorder.National Surveys of Population Health: Big Data Analytics for Mobile Health MonitorsBig data in medical science--a biostatistical viewThe Detection of Emerging Trends Using Wikipedia Traffic Data and Context NetworksThe dynamics of information-driven coordination phenomena: A transfer entropy analysis.Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative AnalysisEthical Challenges of Big Data in Public HealthOnline social integration is associated with reduced mortality riskSpatio-temporal determinants of mental health and well-being: advances in geographically-explicit ecological momentary assessment (GEMA)Mind the Scales: Harnessing Spatial Big Data for Infectious Disease Surveillance and InferenceDiscovering Multi-Scale Co-Occurrence Patterns of Asthma and Influenza with Oak Ridge Bio-Surveillance ToolkitCould Google Trends Be Used to Predict Methamphetamine-Related Crime? An Analysis of Search Volume Data in Switzerland, Germany, and AustriaDisease surveillance based on Internet-based linear models: an Australian case study of previously unmodeled infection diseasesEnhancing disease surveillance with novel data streams: challenges and opportunitiesDigital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public HealthResults from the centers for disease control and prevention's predict the 2013-2014 Influenza Season ChallengeA data-driven model for influenza transmission incorporating media effectsCorrelation between National Influenza Surveillance Data and Search Queries from Mobile Devices and Desktops in South KoreaLeveraging Big Data for Exploring Occupational Diseases-Related Interest at the Level of Scientific Community, Media Coverage and Novel Data Streams: The Example of Silicosis as a Pilot StudySupplementing Public Health Inspection via Social MediaUsing Social Media to Perform Local Influenza Surveillance in an Inner-City Hospital: A Retrospective Observational StudyBig data are coming to psychiatry: a general introductionIdentifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using TwitterQuantitative Agent Based Model of Opinion Dynamics: Polish Elections of 2015Cloud-based Electronic Health Records for Real-time, Region-specific Influenza SurveillanceEmpirical Study of User Preferences Based on Rating Data of MoviesTracking Protests Using Geotagged Flickr PhotographsAcute kidney injury in the era of big data: the 15(th) Consensus Conference of the Acute Dialysis Quality Initiative (ADQI)ORBiT: Oak Ridge biosurveillance toolkit for public health dynamicsBig Data Technologies: New Opportunities for Diabetes ManagementAccurate estimation of influenza epidemics using Google search data via ARGOTracking Time Evolution of Collective Attention Clusters in Twitter: Time Evolving Nonnegative Matrix FactorisationAnalyzing Information Seeking and Drug-Safety Alert Response by Health Care Professionals as New Methods for SurveillanceCombining Search, Social Media, and Traditional Data Sources to Improve Influenza SurveillanceHow Many Political Parties Should Brazil Have? A Data-Driven Method to Assess and Reduce Fragmentation in Multi-Party Political SystemsCollective attention and stock prices: evidence from Google Trends data on Standard and Poor's 100
P2860
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P2860
Big data. The parable of Google Flu: traps in big data analysis.
description
2014 nî lūn-bûn
@nan
2014 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մարտին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
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2014年论文
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name
Big data. The parable of Google Flu: traps in big data analysis.
@ast
Big data. The parable of Google Flu: traps in big data analysis.
@en
type
label
Big data. The parable of Google Flu: traps in big data analysis.
@ast
Big data. The parable of Google Flu: traps in big data analysis.
@en
prefLabel
Big data. The parable of Google Flu: traps in big data analysis.
@ast
Big data. The parable of Google Flu: traps in big data analysis.
@en
P2093
P921
P356
P1433
P1476
Big data. The parable of Google Flu: traps in big data analysis.
@en
P2093
David Lazer
Ryan Kennedy
P304
P356
10.1126/SCIENCE.1248506
P407
P577
2014-03-01T00:00:00Z