Data leakage in health outcomes prediction with machine learning (Preprint)

Alexandre Chiavegatto Filho, André Filipe De Moraes Batista, Hellen Geremias dos Santos
2018 Journal of Medical Internet Research  
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 [1] . 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 [2], but its
more » ... l contribution and applicability are hindered by a major flaw.
doi:10.2196/10969 pmid:33570496 fatcat:mso2c6laefcn5mrowttwqhdtn4