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The Parable of Google Flu: Traps in Big Data Analysis

20142,492 citationsJournal Articlegreen Open Access

Authors

David Lazer · Harvard University Press

Ryan Kennedy · Harvard University

Gary King · Harvard University

Alessandro Vespignani · Institute for Scientific Interchange

Abstract

Large errors in flu prediction were largely avoidable, which offers lessons for the use of big data.

Topics & Keywords

Data-Driven Disease Surveillance Anomaly Detection Techniques and Applications COVID-19 diagnosis using AI

Publication Details

Published in: Science

Volume 343, Issue 6176, pp. 1203-1205

DOI: 10.1126/science.1248506

Field-Weighted Citation Impact: 178.89

The Parable of Google Flu: Traps in Big Data Analysis | Researchclopedia