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

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 recruited peopl...

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Detalles Bibliográficos
Autores principales: Miyashita, Yohei, Hitsumoto, Tatsuro, Fukuda, Hiroki, Kim, Jiyoong, Washio, Takashi, Kitakaze, Masafumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020464/
https://www.ncbi.nlm.nih.gov/pubmed/36928666
http://dx.doi.org/10.1038/s41598-023-31600-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020464/
https://www.ncbi.nlm.nih.gov/pubmed/36928666
http://dx.doi.org/10.1038/s41598-023-31600-0

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