Privacy-Preserving Multi-Class Support Vector Machine Model on Medical Diagnosis-Reference-Cited by-同舟云学术

Privacy-Preserving Multi-Class Support Vector Machine Model on Medical Diagnosis

Published:2022-07 Issue:7 Volume:26 Page:3342-3353
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Chen Yange¹^ORCID,Mao Qinyu²,Wang Baocang³^ORCID,Duan Pu⁴,Zhang Benyu⁴,Hong Zhiyong⁵

Affiliation:

1. School of Telecommunications Engineering, Xidian University, Xi’an, China

2. School of Cyber Engineering, Xidian University, Xi’an, China

3. State Key Laboratory of Integrated Service Networks, Cryptographic Research Center, School of Telecommunications Engineering, Xidian University, Xi’an, China

4. Secure Collaborative Intelligence Laboratory, Ant Group, Zhejiang, China

5. Facility of Intelligence Manufacture, Yue-Gang-Ao Industrial Big Data Collaborative Innovation Center, Wuyi University, Jiangmen, China

Funder

National Natural Science Foundation of China

Key Research and Development Program of Shaanxi

Key Technologies R&D Program of Henan Province

Innovation Scientists and Technicians Troop Construction Projects of Henan Province

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/ielx7/6221020/9813470/09729990.pdf?arnumber=9729990

Reference45 articles.

1. OAA-SVM-MS: A fast and efficient multi-class classification algorithm

2. Hierarchical multi-class SVM with ELM kernel for epileptic EEG signal classification

3. Cryptographically private support vector machines

4. A Differential Privacy Support Vector Machine Classifier Based on Dual Variable Perturbation

5. SVM Learning for Default Prediction of Credit Card under Differential Privacy

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