Predictive modeling in urgent care: a comparative study of machine learning approaches

OBJECTIVE: The growing availability of rich clinical data such as patients’ electronic health records provide great opportunities to address a broad range of real-world questions in medicine. At the same time, artificial intelligence and machine learning (ML)-based approaches have shown great premis...

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Detalles Bibliográficos
Autores principales: Tang, Fengyi, Xiao, Cao, Wang, Fei, Zhou, Jiayu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6951928/
https://www.ncbi.nlm.nih.gov/pubmed/31984321
http://dx.doi.org/10.1093/jamiaopen/ooy011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6951928/
https://www.ncbi.nlm.nih.gov/pubmed/31984321
http://dx.doi.org/10.1093/jamiaopen/ooy011

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