Machine Learning-Based Clinical Adjusted Selection of Predicting Risk Factors for Shunt Infection in Children
Background: Shunt Infection is a common complication of shunt insertion in children which can lead to bad neuro-developmental conditions and impose a considerable economic burden for the health care system. So, identifying predictive factors of shunt infection could help us in the proper improvement...
Guardado en:
| Autores principales: | , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Shahid Beheshti University of Medical Sciences
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/8efee45589b647e8ad4596c5f4d5d76f |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Sea el primero en dejar un comentario!