Application of Interpretable Machine Learning Models Based on Ultrasonic Radiomics for Predicting the Risk of Fibrosis Progression in Diabetic Patients with Nonalcoholic Fatty Liver Disease

Fei Meng, Qin Wu, Wei Zhang, Shirong Hou Department of Ultrasound, Xuan Cheng City Central Hospital, Xuancheng, Anhui, People’s Republic of ChinaCorrespondence: Fei Meng, Xuan Cheng City Central Hospital, No. 117, Tonggong Road, Xuanzhou Distinct, Xuancheng, Anhui, 242000, People’s Republic of China...

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Bibliographic Details

Published in:	Diabetes, Metabolic Syndrome and Obesity
Main Authors:	Meng F, Wu Q, Zhang W, Hou S
Format:	Article
Language:	English
Published:	Dove Medical Press 2023-12-01
Subjects:	nonalcoholic fatty liver disease type 2 diabetes mellitus hepatic fibrosis machine learning radiomics support vector machine
Online Access:	https://www.dovepress.com/application-of-interpretable-machine-learning-models-based-on-ultrason-peer-reviewed-fulltext-article-DMSO