Diagnosis of infectious factors in patients with chronic glomerular disease using deep learning‐based health information data-Reference-Cited by-同舟云学术

Diagnosis of infectious factors in patients with chronic glomerular disease using deep learning‐based health information data

Published:2021-08-17 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Zhou Canxin¹,Chen Siqi²,Li Xinhan²,Ying Xuxia³^ORCID

Affiliation:

1. Department of Nephrology Yinzhou People's Hospital Ningbo China

2. Medical School Medical School of Ningbo University Ningbo China

3. Department of Intensive Care Unit Yinzhou People's Hospital Ningbo China

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12771

Reference19 articles.

1. Consequences of Glomerular Hyperfiltration: The Role of Physical Forces in the Pathogenesis of Chronic Kidney Disease in Diabetes and Obesity

2. Utilizing molecular network information via graph convolutional neural networks to predict metastatic event in breast cancer;Chereda H.;Studies in Health Technology and Informatics,2019

3. Oxidative Stress in the Pathogenesis and Evolution of Chronic Kidney Disease: Untangling Ariadne’s Thread

4. Deep learning guided stroke management: a review of clinical applications

5. Association between metabolic parameters and glomerular hyperfiltration in a representative Korean population without chronic kidney disease

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