BMJ December 28, 2018
Kiret Dhindsa, Mohit Bhandari, Ranil R Sonnadara

Poor data quality, incompatible datasets, inadequate expertise, and hype

Big data refers to datasets that are too large or complex to analyse with traditional methods.1 Instead we rely on machine learning—self updating algorithms that build predictive models by finding patterns in data.2 In recent years, a so called “big data revolution” in healthcare has been promised so often that researchers are now asking why this supposed inevitability has not happened.6 Although some technical barriers have been correctly identified,7 there...

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