Improving Prediction Accuracy of “Central Line-Associated Blood Stream Infections” Using Data Mining Models

Prediction of nosocomial infections among patients is an important part of clinical surveillance programs to enable the related personnel to take preventive actions in advance. Designing a clinical surveillance program with capability of predicting nosocomial infections is a challenging task due to...

Descripción completa

Detalles Bibliográficos
Autores principales: Noaman, Amin Y., Nadeem, Farrukh, Ragab, Abdul Hamid M., Jamjoom, Arwa, Al-Abdullah, Nabeela, Nasir, Mahreen, Ali, Anser G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632447/
https://www.ncbi.nlm.nih.gov/pubmed/29085836
http://dx.doi.org/10.1155/2017/3292849

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632447/
https://www.ncbi.nlm.nih.gov/pubmed/29085836
http://dx.doi.org/10.1155/2017/3292849

Ejemplares similares