XGBoost algorithm and logistic regression to predict the postoperative 5-year outcome in patients with glioma

BACKGROUND: Glioma is the most common primary intracranial tumor with poor prognosis. The prediction of glioma prognosis has not been well investigated. XGBoost algorithm has been widely used in and data analysis. The predictive value of XGBoost algorithm in glioma remains unclear. This current stud...

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Detalles Bibliográficos
Autores principales: Yan, Zhiqiang, Wang, Jiang, Dong, Qiufeng, Zhu, Lian, Lin, Wei, Jiang, Xiaofan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469144/
https://www.ncbi.nlm.nih.gov/pubmed/36110992
http://dx.doi.org/10.21037/atm-22-3384

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469144/
https://www.ncbi.nlm.nih.gov/pubmed/36110992
http://dx.doi.org/10.21037/atm-22-3384

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