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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:PLoS One
Egile Nagusiak: da Silva, Daniel A., ten Caten, Carla S., dos Santos, Rodrigo P., Fogliatto, Flavio S., Hsuan, Juliana
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Public Library of Science 2019
Gaiak:
Research Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC6910696/
https://ncbi.nlm.nih.gov/pubmed/31834905
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0226272
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