Clinical Feature-Based Machine Learning Model for 1-Year Mortality Risk Prediction of ST-Segment Elevation Myocardial Infarction in Patients with Hyperuricemia: A Retrospective Study

Accurate risk assessment of high-risk patients is essential in clinical practice. However, there is no practical method to predict or monitor the prognosis of patients with ST-segment elevation myocardial infarction (STEMI) complicated by hyperuricemia. We aimed to evaluate the performance of differ...

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Detalles Bibliográficos
Autores principales: Bai, Zhixun, Lu, Jing, Li, Ting, Ma, Yi, Liu, Zhijiang, Zhao, Ranzun, Wang, Zhenglong, Shi, Bei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275420/
https://www.ncbi.nlm.nih.gov/pubmed/34285708
http://dx.doi.org/10.1155/2021/7252280

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275420/
https://www.ncbi.nlm.nih.gov/pubmed/34285708
http://dx.doi.org/10.1155/2021/7252280

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