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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2023
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| Materias: | |
| 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 |