Shared Manifold Regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer’s Disease Diagnosis-Reference-Cited by-同舟云学术

Shared Manifold Regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer’s Disease Diagnosis

Published:2024 Issue: Volume:33 Page:2730-2745
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Chen Zhi¹^ORCID,Liu Yongguo¹^ORCID,Zhang Yun¹^ORCID,Zhu Jiajing¹^ORCID,Li Qiaoqin¹^ORCID,Wu Xindong²^ORCID

Affiliation:

1. Knowledge and Data Engineering Laboratory of Chinese Medicine, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Key Laboratory of Knowledge Engineering with Big Data, the Ministry of Education of China, Hefei University of Technology, Hefei, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Yibin Science and Technology Plan Project

Sichuan Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10489857.pdf?arnumber=10489857

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5. Assessing cost-effectiveness of early intervention in Alzheimer's disease: An open-source modeling framework

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