Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost

BACKGROUND: Sepsis is a significant cause of mortality in-hospital, especially in ICU patients. Early prediction of sepsis is essential, as prompt and appropriate treatment can improve survival outcomes. Machine learning methods are flexible prediction algorithms with potential advantages over conve...

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Detalles Bibliográficos
Autores principales: Hou, Nianzong, Li, Mingzhe, He, Lu, Xie, Bing, Wang, Lin, Zhang, Rumin, Yu, Yong, Sun, Xiaodong, Pan, Zhengsheng, Wang, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720497/
https://www.ncbi.nlm.nih.gov/pubmed/33287854
http://dx.doi.org/10.1186/s12967-020-02620-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720497/
https://www.ncbi.nlm.nih.gov/pubmed/33287854
http://dx.doi.org/10.1186/s12967-020-02620-5

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