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...
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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
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Shahid Beheshti University of Medical Sciences
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/8efee45589b647e8ad4596c5f4d5d76f |
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