A model-agnostic approach for understanding heart failure risk factors

OBJECTIVE: Understanding the risk factors for developing heart failure among patients with type 2 diabetes can contribute to preventing deterioration of quality of life for those persons. Electronic health records (EHR) provide an opportunity to use sophisticated machine learning models to understan...

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Detalles Bibliográficos
Autores principales: Miran, Seyed M., Nelson, Stuart J., Zeng-Treitler, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130447/
https://www.ncbi.nlm.nih.gov/pubmed/34001210
http://dx.doi.org/10.1186/s13104-021-05596-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130447/
https://www.ncbi.nlm.nih.gov/pubmed/34001210
http://dx.doi.org/10.1186/s13104-021-05596-7

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