A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke

OBJECTIVE: To evaluate RSF and Cox models for mortality prediction of hemorrhagic stroke (HS) patients in intensive care unit (ICU). METHODS: In the training set, the optimal models were selected using five-fold cross-validation and grid search method. In the test set, the bootstrap method was used...

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Detalles Bibliográficos
Autores principales: Wang, Yuxin, Deng, Yuhan, Tan, Yinliang, Zhou, Meihong, Jiang, Yong, Liu, Baohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576378/
https://www.ncbi.nlm.nih.gov/pubmed/37833724
http://dx.doi.org/10.1186/s12911-023-02293-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576378/
https://www.ncbi.nlm.nih.gov/pubmed/37833724
http://dx.doi.org/10.1186/s12911-023-02293-2

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