2019
DOI: 10.2139/ssrn.3473281
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A Novel and Simple Machine Learning Algorithm for Preoperative Diagnosis of Acute Appendicitis in Children

Abstract: BackgroundThere is a tendency toward nonoperative management of appendicitis resulting in an increasing need for preoperative diagnosis and classification. For medical purposes, simple conceptual decision-making models that can learn are widely used. Decision trees are reliable and effective techniques which provide high classification accuracy. We tested if we could detect appendicitis and differentiate uncomplicated from complicated cases using machine learning algorithms. MethodsWe analyzed all cases admitt… Show more

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