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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...
Autores principales: | Zhang, Luming, Huang, Tao, Xu, Fengshuo, Li, Shaojin, Zheng, Shuai, Lyu, Jun, Yin, Haiyan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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