Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records

BACKGROUND: Emergency admissions are a major source of healthcare spending. We aimed to derive, validate, and compare conventional and machine learning models for prediction of the first emergency admission. Machine learning methods are capable of capturing complex interactions that are likely to be...

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Detalles Bibliográficos
Autores principales: Rahimian, Fatemeh, Salimi-Khorshidi, Gholamreza, Payberah, Amir H., Tran, Jenny, Ayala Solares, Roberto, Raimondi, Francesca, Nazarzadeh, Milad, Canoy, Dexter, Rahimi, Kazem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245681/
https://www.ncbi.nlm.nih.gov/pubmed/30458006
http://dx.doi.org/10.1371/journal.pmed.1002695

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245681/
https://www.ncbi.nlm.nih.gov/pubmed/30458006
http://dx.doi.org/10.1371/journal.pmed.1002695

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