Real- Time Intradialytic Hypotension Prediction Model Using an Improved Equilibrium Optimizer for Feature Selection-Reference-Cited by-同舟云学术

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Real- Time Intradialytic Hypotension Prediction Model Using an Improved Equilibrium Optimizer for Feature Selection

Published:2023-11-17 Issue: Volume: Page:3006-3011
ISSN:
Container-title:2023 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Gu Lei¹,Xiang Jiadong¹,He Shenghuang¹,Huang Yuanyuan¹,Bian Xueyan²,Yuan Jing³

Affiliation:

1. Ningbo Artificial Intelligence Institute, Shanghai Jiao Tong University,Department of Automation,Shanghai,China

2. The First Affiliated Hospital of Ningbo University,Zhejiang,China

3. First Affiliated Hospital College of Medicine Zhejiang University,Zhejing,China

Funder

Ningbo Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451473.pdf?arnumber=10451473

Reference11 articles.

1. Intradialytic Hypotension: Mechanisms and Outcome

2. Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension

3. Real-time prediction of intradialytic hypotension using machine learning and cloud computing infrastructure

4. Machine-Learning Model to Predict the Intradialytic Hypotension Based on Clinical-Analytical Data

5. A Survey on Evolutionary Computation Approaches to Feature Selection

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