Predicting the occurrence of surgical site infections using text mining and machine learning

In this study we propose the use of text mining and machine learning methods to predict and detect Surgical Site Infections (SSIs) using textual descriptions of surgeries and post-operative patients’ records, mined from the database of a high complexity University hospital. SSIs are among the most c...

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Detalles Bibliográficos
Autores principales: da Silva, Daniel A., ten Caten, Carla S., dos Santos, Rodrigo P., Fogliatto, Flavio S., Hsuan, Juliana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6910696/
https://www.ncbi.nlm.nih.gov/pubmed/31834905
http://dx.doi.org/10.1371/journal.pone.0226272

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6910696/
https://www.ncbi.nlm.nih.gov/pubmed/31834905
http://dx.doi.org/10.1371/journal.pone.0226272

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