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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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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2019
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| Matèries: | |
| Accés en línia: | 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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