XGBoost Machine Learning Algorithm for Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage

BACKGROUND: Patients suffered aneurysmal subarachnoid hemorrhage (aSAH) usually develop poor survival and functional outcome. Evaluating aSAH patients at high risk of poor outcome is necessary for clinicians to make suitable therapeutical strategy. This study is conducted to develop prognostic model...

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Detalles Bibliográficos
Autores principales: Wang, Ruoran, Zhang, Jing, Shan, Baoyin, He, Min, Xu, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976557/
https://www.ncbi.nlm.nih.gov/pubmed/35378822
http://dx.doi.org/10.2147/NDT.S349956

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976557/
https://www.ncbi.nlm.nih.gov/pubmed/35378822
http://dx.doi.org/10.2147/NDT.S349956

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