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Development and validation of a prediction model based on machine learning algorithms for predicting the risk of heart failure in middle‐aged and older US people with prediabetes or diabetes

BACKGROUND: The purpose of this study was to develop and validate a machine learning (ML) based prediction model for the risk of heart failure (HF) in patients with prediabetes or diabetes. METHODS: We used 3527 subjects aged 40 years and older with a prior diagnosis of prediabetes or diabetes from...

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Detalles Bibliográficos
Autores principales:	Wang, Yicheng, Hou, Riting, Ni, Binghang, Jiang, Yu, Zhang, Yan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2023
Materias:	Clinical Study Design
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577538/ https://www.ncbi.nlm.nih.gov/pubmed/37519220 http://dx.doi.org/10.1002/clc.24104

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