Predicting Long-Term Mortality in Patients with Angina across the Spectrum of Dysglycemia: A Machine Learning Approach

We aimed to develop and validate a model for predicting mortality in patients with angina across the spectrum of dysglycemia. A total of 1479 patients admitted for coronary angiography due to angina were enrolled. All-cause mortality served as the primary endpoint. The models were validated with fiv...

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Detalles Bibliográficos
Autores principales: Li, Yu-Hsuan, Sheu, Wayne Huey-Herng, Yeh, Wen-Chao, Chang, Yung-Chun, Lee, I-Te
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226455/
https://www.ncbi.nlm.nih.gov/pubmed/34207578
http://dx.doi.org/10.3390/diagnostics11061060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226455/
https://www.ncbi.nlm.nih.gov/pubmed/34207578
http://dx.doi.org/10.3390/diagnostics11061060

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