Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest)

BACKGROUND: Elderly patients with sepsis have many comorbidities, and the clinical reaction is not obvious. Thus, clinical treatment is difficult. We planned to use the laboratory test results and comorbidities of elderly patients with sepsis from a large-scale public database Medical Information Ma...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Luming, Huang, Tao, Xu, Fengshuo, Li, Shaojin, Zheng, Shuai, Lyu, Jun, Yin, Haiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832779/
https://www.ncbi.nlm.nih.gov/pubmed/35148680
http://dx.doi.org/10.1186/s12873-022-00582-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832779/
https://www.ncbi.nlm.nih.gov/pubmed/35148680
http://dx.doi.org/10.1186/s12873-022-00582-z

Ejemplares similares