Privacy-preserving and high-accurate outsourced disease predictor on random forest-Reference-Cited by-同舟云学术

Privacy-preserving and high-accurate outsourced disease predictor on random forest

Published:2019-09 Issue: Volume:496 Page:225-241
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Ma Zhuoran^ORCID,Ma Jianfeng,Miao Yinbin^ORCID,Liu Ximeng^ORCID

Funder

Key Program

Shaanxi Science and Technology

National Natural Science Foundation of China

Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

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