Discrimination of indoor versus outdoor environmental state with machine learning algorithms in myopia observational studies

摘要

BackgroundWearable smart watches provide large amount of real-time data on the environmental state of the users and are useful to determine risk factors for onset and progression of myopia. We aim to evaluate the efficacy of machine learning algorithm in differentiating indoor and outdoor locations as collected by use of smart watches.