Automated healthcare-associated infection surveillance using an artificial intelligence algorithm

Healthcare-associated infections (HAIs) are among the most common adverse events in hospitals. We used artificial intelligence (AI) algorithms for infection surveillance in a cohort study. The model correctly detected 67 out of 73 patients with HAIs. The final model used a multilayer perceptron neur...

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Detalles Bibliográficos
Autores principales: dos Santos, R.P., Silva, D., Menezes, A., Lukasewicz, S., Dalmora, C.H., Carvalho, O., Giacomazzi, J., Golin, N., Pozza, R., Vaz, T.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387762/
https://www.ncbi.nlm.nih.gov/pubmed/34471868
http://dx.doi.org/10.1016/j.infpip.2021.100167

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387762/
https://www.ncbi.nlm.nih.gov/pubmed/34471868
http://dx.doi.org/10.1016/j.infpip.2021.100167

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