The application of artificial intelligence models in predicting the risk of diabetic foot: a multicenter study

The application of artificial intelligence models in predicting the risk of diabetic foot: a multicenter study

Abstract This study explores diabetic foot (DF), a severe complication in diabetes, by combining deep learning (DL) and machine learning (ML) to develop a multi-model prediction tool. Early identification of high-risk DF patients can reduce disability and mortality. The research also aims to create...

Full description

Saved in:
Bibliographic Details
Main Authors: Yao Li, Siyuan Zhou, Bichen Ren, Shuai Ju, Xiaoyan Li, Wenqiang Li, Bingzhe Li, Yunmin Cai, Chunlei Chang, Lihong Huang, Zhihui Dong
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BioData Mining
Subjects:
Artificial intelligence
Machine learning
Prediction model
Online Access:https://doi.org/10.1186/s13040-025-00477-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s13040-025-00477-2

Similar Items