Diagnostic Algorithm Based on Machine Learning to Predict Complicated Appendicitis in Children Using CT, Laboratory, and Clinical Features

To establish a diagnostic algorithm for predicting complicated appendicitis in children based on CT and clinical features. Methods: This retrospective study included 315 children (<18 years old) who were diagnosed with acute appendicitis and underwent appendectomy between January 2014 and Decembe...

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Detalles Bibliográficos
Autores principales: Byun, Jieun, Park, Seongkeun, Hwang, Sook Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001049/
https://www.ncbi.nlm.nih.gov/pubmed/36900066
http://dx.doi.org/10.3390/diagnostics13050923

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001049/
https://www.ncbi.nlm.nih.gov/pubmed/36900066
http://dx.doi.org/10.3390/diagnostics13050923

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