Application of machine learning and natural language processing for predicting stroke-associated pneumonia

BACKGROUND: Identifying patients at high risk of stroke-associated pneumonia (SAP) may permit targeting potential interventions to reduce its incidence. We aimed to explore the functionality of machine learning (ML) and natural language processing techniques on structured data and unstructured clini...

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Detalles Bibliográficos
Autores principales: Tsai, Hui-Chu, Hsieh, Cheng-Yang, Sung, Sheng-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556866/
https://www.ncbi.nlm.nih.gov/pubmed/36249261
http://dx.doi.org/10.3389/fpubh.2022.1009164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556866/
https://www.ncbi.nlm.nih.gov/pubmed/36249261
http://dx.doi.org/10.3389/fpubh.2022.1009164

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