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Value of fecal calprotectin in prediction of acute appendicitis based on a proposed model of machine learning
BACKGROUND: The aim of this study is to apply random forest (RF), one of the machine learning (ML) algorithms, to a dataset consisting of patients with a presumed diagnosis of acute appendicitis (AAp) and to reveal the most important factors associated with the diagnosis of AAp based on the variable...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Kare Publishing
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315941/ https://www.ncbi.nlm.nih.gov/pubmed/37278078 http://dx.doi.org/10.14744/tjtes.2023.10001 |