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Applications of machine learning algorithms to predict the incidence of health outcomes have an enormous potential to improve clinical practice and lower health care costs  . Machine learning is a subset of artificial intelligence that uses data to improve decisions through experience, which is especially promising in a data-driven world. Dr Ye and colleagues' article on hypertension incidence prediction in the Journal of Medical Internet Research adds to this literature , but itsdoi:10.2196/10969 pmid:33570496 fatcat:mso2c6laefcn5mrowttwqhdtn4