Development of a metabolite-based deep learning algorithm for clinical precise diagnosis of the progression of diabetic kidney disease

Author:

Lai Qiong,Zhou Bingwen,Cui Zhiming,An Xiaofei,Zhu Lin,Cao Zhengyu,Liu Shijia,Yu Boyang

Funder

Double First Class University Plan

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Kidney Disease Prediction using ML techniques;2024 International Conference on Emerging Systems and Intelligent Computing (ESIC);2024-02-09

2. Novel approaches and therapeutic targets for diabetic nephropathy: Advances and promising strategies;Tropical Journal of Pharmaceutical Research;2024-01-11

3. Detection of Kidney Disease in X-Ray Images Using Machine Learning on MobileNetV3 CNN Model;2023 2nd International Conference on Futuristic Technologies (INCOFT);2023-11-24

4. Kidney Disease X-Ray Image Classification Using a ResNet50V2 Model based Machine Learning Approach;2023 2nd International Conference on Futuristic Technologies (INCOFT);2023-11-24

5. Kidney Disease Classification Using Machine Learning Approach on DenseNet201 Model using Xray Images;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19

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