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

Author:

da Silva Daniel A.,ten Caten Carla S.,dos Santos Rodrigo P.,Fogliatto Flavio S.ORCID,Hsuan Juliana

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference54 articles.

1. Anvisa/Brasil. Infection Diagnostic Criteria Related to Healthcare. In: Agência Nacional de Vigilância Sanitária [Internet]. 2017. p. 13–88. Available from: www.anvisa.gov.br

2. Wachter RM. Understanding Patient Safety. In: AMGH Editora. 2013. 479 p.

3. Cost of hospital-associated infections in Massachusetts;PW Stone;Am J Infect Control,2009

4. Automated detection of nosocomial infections: Evaluation of different strategies in an intensive care unit 2000–2006;S Bouzbid;J Hosp Infect,2011

5. Assessing surgical site infection risk factors using electronic medical records and text mining;JD Michelson;Am J Infect Control,2014

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