Predicting the Prognosis of Patients in the Coronary Care Unit: A Novel Multi-Category Machine Learning Model Using XGBoost

BACKGROUND: Early prediction and classification of prognosis is essential for patients in the coronary care unit (CCU). We applied a machine learning (ML) model using the eXtreme Gradient Boosting (XGBoost) algorithm to prognosticate CCU patients and compared XGBoost with traditional classification...

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Detalles Bibliográficos
Autores principales: Wang, Xingchen, Zhu, Tianqi, Xia, Minghong, Liu, Yu, Wang, Yao, Wang, Xizhi, Zhuang, Lenan, Zhong, Danfeng, Zhu, Jun, He, Hong, Weng, Shaoxiang, Zhu, Junhui, Lai, Dongwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133425/
https://www.ncbi.nlm.nih.gov/pubmed/35647052
http://dx.doi.org/10.3389/fcvm.2022.764629

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133425/
https://www.ncbi.nlm.nih.gov/pubmed/35647052
http://dx.doi.org/10.3389/fcvm.2022.764629

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