Deep Learning Identifies Intelligible Predictors of Poor Prognosis in Chronic Kidney Disease-Reference-Cited by-同舟云学术

Deep Learning Identifies Intelligible Predictors of Poor Prognosis in Chronic Kidney Disease

Published:2023-07 Issue:7 Volume:27 Page:3677-3685
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Liang Ping¹,Yang Jiannan²,Wang Weilan²,Yuan Guanjie¹,Han Min³^ORCID,Zhang Qingpeng⁴^ORCID,Li Zhen¹^ORCID

Affiliation:

1. Department of Radiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China

2. School of Data Science, City University of Hong Kong, Hong Kong, China

3. Department of Nephrology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China

4. Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, and the Musketeers Foundation Institute of Data Science, University of Hong Kong, Hong Kong, China

Funder

National Natural Science Foundation of China

Innovation and Technology Fund of Innovation and Technology Commission of Hong Kong

National Key Research and Development Program of China

Ministry of Science and Technology of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10171108/10100868.pdf?arnumber=10100868

Reference55 articles.

1. Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition

2. A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure

3. Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images

4. Machine learning and deep learning approaches in breast cancer survival prediction using clinical data;kalafi;Folioa biologica,2019

5. Urinary Sodium and Potassium Excretion and CKD Progression

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