Prediction of Perforated and Nonperforated Acute Appendicitis Using Machine Learning-Based Explainable Artificial Intelligence

Background: The primary aim of this study was to create a machine learning (ML) model that can predict perforated and nonperforated acute appendicitis (AAp) with high accuracy and to demonstrate the clinical interpretability of the model with explainable artificial intelligence (XAI). Method: A tota...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Sami Akbulut, Fatma Hilal Yagin, Ipek Balikci Cicek, Cemalettin Koc, Cemil Colak, Sezai Yilmaz
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2023-03-01
श्रृंखला:	Diagnostics
विषय:	nonperforated acute appendicitis perforated acute appendicitis predictive markers machine learning explainable artificial intelligence
ऑनलाइन पहुंच:	https://www.mdpi.com/2075-4418/13/6/1173
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