A novel and simple machine learning algorithm for preoperative diagnosis of acute appendicitis in children.
Journal:
Pediatric surgery international
Published Date:
Jun 1, 2020
Abstract
INTRODUCTION: There 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.