Added value of systemic inflammation markers in predicting pulmonary infection in stroke patients: A retrospective study by machine learning analysis

Exploring candidate markers to predict the clinical outcomes of pulmonary infection in stroke patients have a high unmet need. This study aimed to develop machine learning (ML)-based predictive models for pulmonary infection. Between January 2008 and April 2021, a retrospective analysis of 1397 stro...

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Detalles Bibliográficos
Autores principales: Zheng, Lv, Wen, Lv, Lei, Wang, Ning, Zhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
3900
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718201/
https://www.ncbi.nlm.nih.gov/pubmed/34967381
http://dx.doi.org/10.1097/MD.0000000000028439

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718201/
https://www.ncbi.nlm.nih.gov/pubmed/34967381
http://dx.doi.org/10.1097/MD.0000000000028439

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