Using Machine Learning to Predict the Diagnosis, Management and Severity of Pediatric Appendicitis

Using Machine Learning to Predict the Diagnosis, Management and Severity of Pediatric Appendicitis

Background: Given the absence of consolidated and standardized international guidelines for managing pediatric appendicitis and the few strictly data-driven studies in this specific, we investigated the use of machine learning (ML) classifiers for predicting the diagnosis, management and severity of...

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Bibliographic Details
Main Authors: Ricards Marcinkevics, Patricia Reis Wolfertstetter, Sven Wellmann, Christian Knorr, Julia E. Vogt
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Pediatrics
Subjects:
appendicitis
pediatrics
predictive medicine
machine learning
classification
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2021.662183/full

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https://www.frontiersin.org/articles/10.3389/fped.2021.662183/full

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