Novel machine learning models to predict pneumonia events in supratentorial intracerebral hemorrhage populations: An analysis of the Risa-MIS-ICH study

BACKGROUND: Stroke-associated pneumonia (SAP) contributes to high mortality rates in spontaneous intracerebral hemorrhage (sICH) populations. Accurate prediction and early intervention of SAP are associated with prognosis. None of the previously developed predictive scoring systems are widely accept...

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Detalles Bibliográficos
Autores principales: Zheng, Yan, Lin, Yuan-Xiang, He, Qiu, Zhuo, Ling-Yun, Huang, Wei, Gao, Zhu-Yu, Chen, Ren-Long, Zhao, Ming-Pei, Xie, Ze-Feng, Ma, Ke, Fang, Wen-Hua, Wang, Deng-Liang, Chen, Jian-Cai, Kang, De-Zhi, Lin, Fu-Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452786/
https://www.ncbi.nlm.nih.gov/pubmed/36090880
http://dx.doi.org/10.3389/fneur.2022.955271

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452786/
https://www.ncbi.nlm.nih.gov/pubmed/36090880
http://dx.doi.org/10.3389/fneur.2022.955271

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