Application of big-data for epidemiological studies of refractive error.

Michael Moore James J LoughmanJohn S ButlerArne OhlendorfSiegfried WahlDaniel I Flitcroft

Published in: PloS one (2021)

The prevalence of refractive error within a population can be estimated using EMR data in the absence of population surveys. Industry derived sales data can also provide insights on the epidemiology of refractive errors in a population over certain age ranges. EMR and industrial data may therefore provide a fast and cost-effective surrogate measure of refractive error distribution that can be used for future health service planning purposes.

Keyphrases

big data
artificial intelligence
machine learning
electronic health record
cataract surgery
heavy metals
emergency department
deep learning
risk assessment
adverse drug