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Data leakage in health outcomes prediction with machine learning (Preprint)
2018
Journal of Medical Internet Research
Preserved Fulltext
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
doi:10.2196/10969
pmid:33570496
fatcat:mso2c6laefcn5mrowttwqhdtn4