Predicting ICU Mortality in Rheumatic Heart Disease: Comparison of XGBoost and Logistic Regression

BACKGROUND: Rheumatic heart disease (RHD) accounts for a large proportion of Intensive Care Unit (ICU) deaths. Early prediction of RHD can help with timely and appropriate treatment to improve survival outcomes, and the XGBoost machine learning technology can be used to identify predictive factors;...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Yixian, Han, Didi, Huang, Tao, Zhang, Xiaoshen, Lu, Hua, Shen, Si, Lyu, Jun, Wang, Hao
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/PMC8918628/
https://www.ncbi.nlm.nih.gov/pubmed/35295254
http://dx.doi.org/10.3389/fcvm.2022.847206

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918628/
https://www.ncbi.nlm.nih.gov/pubmed/35295254
http://dx.doi.org/10.3389/fcvm.2022.847206

Ejemplares similares