Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records

Aim: To use available electronic administrative records to identify data reliability, predict discharge destination, and identify risk factors associated with specific outcomes following hospital admission with stroke, compared to stroke specific clinical factors, using machine learning techniques....

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Detalles Bibliográficos
Autores principales: Rana, Santu, Luo, Wei, Tran, Truyen, Venkatesh, Svetha, Talman, Paul, Phan, Thanh, Phung, Dinh, Clissold, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8503552/
https://www.ncbi.nlm.nih.gov/pubmed/34646226
http://dx.doi.org/10.3389/fneur.2021.670379

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8503552/
https://www.ncbi.nlm.nih.gov/pubmed/34646226
http://dx.doi.org/10.3389/fneur.2021.670379

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