A generalizable and interpretable model for mortality risk stratification of sepsis patients in intensive care unit

PURPOSE: This study aimed to construct a mortality model for the risk stratification of intensive care unit (ICU) patients with sepsis by applying a machine learning algorithm. METHODS: Adult patients who were diagnosed with sepsis during admission to ICU were extracted from MIMIC-III, MIMIC-IV, eIC...

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Detalles Bibliográficos
Autores principales: Zhuang, Jinhu, Huang, Haofan, Jiang, Song, Liang, Jianwen, Liu, Yong, Yu, Xiaxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503007/
https://www.ncbi.nlm.nih.gov/pubmed/37715194
http://dx.doi.org/10.1186/s12911-023-02279-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503007/
https://www.ncbi.nlm.nih.gov/pubmed/37715194
http://dx.doi.org/10.1186/s12911-023-02279-0

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