Predicting heart failure onset in the general population using a novel data-mining artificial intelligence method

Abstract We aimed to identify combinations of clinical factors that predict heart failure (HF) onset using a novel limitless-arity multiple-testing procedure (LAMP). We also determined if increases in numbers of predictive combinations of factors increases the probability of developing HF. We recrui...

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Bibliographic Details
Main Authors: Yohei Miyashita, Tatsuro Hitsumoto, Hiroki Fukuda, Jiyoong Kim, Takashi Washio, Masafumi Kitakaze
Format: Article
Language:English
Published: Nature Portfolio 2023-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-31600-0