Using machine learning for predicting cervical cancer from Swedish electronic health records by mining hierarchical representations

Electronic health records (EHRs) contain rich documentation regarding disease symptoms and progression, but EHR data is challenging to use for diagnosis prediction due to its high dimensionality, relative scarcity, and substantial level of noise. We investigated how to best represent EHR data for pr...

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Detalles Bibliográficos
Autores principales: Weegar, Rebecka, Sundström, Karin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444577/
https://www.ncbi.nlm.nih.gov/pubmed/32822401
http://dx.doi.org/10.1371/journal.pone.0237911

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444577/
https://www.ncbi.nlm.nih.gov/pubmed/32822401
http://dx.doi.org/10.1371/journal.pone.0237911

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