Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis-Reference-Cited by-同舟云学术

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Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis

Published:2024-06-30 Issue: Volume:93 Page:1-8
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
language:
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Author:

Tang Shanshan¹,Chen Qi²,Xue Bing²,Huang Min¹,Zhang Mengjie²

Affiliation:

1. College of Information Science and Engineering, Northeastern University,Shenyang,Liaoning,China,110819

2. Victoria University of Wellington,Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science,Wellington,New Zealand

Funder

Major Research Plan

NSFC

New Zealand Government

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10611973.pdf?arnumber=10611973

Reference31 articles.

1. A System for Aiding Diagnosis of Alzheimer’s Disease and Related Disorders with an Adaptable Decision Model

2. Alzheimer’s disease prevention: from risk factors to early intervention

3. The Neuropsychological Profile of Alzheimer Disease

4. Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease

5. Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer’s Disease Prediction

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