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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...
Autores principales: | Li, Yu-Hsuan, Sheu, Wayne Huey-Herng, Yeh, Wen-Chao, Chang, Yung-Chun, Lee, I-Te |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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