PPCD: Privacy-preserving clinical decision with cloud support

Author:

Ma Hui,Guo Xuyang,Ping YuanORCID,Wang Baocang,Yang Yuehua,Zhang Zhili,Zhou Jingxian

Funder

National Key R&D Program of China

National Natural Science Foundation of China

the Plan For Scientific Innovation Talent of Henan Province

Program for Science & Technology Innovation Talents in Universities of He’nan Province

Key Technologies R&D Program of He’nan Province

Foundation of He’nan Educational Committee

Foundation for University Key Teacher of He’nan Province

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference30 articles.

1. PPDP: An efficient and privacy-preserving disease prediction scheme in cloud-based e-Healthcare system;C Zhang;Future Generation Computer Systems,2018

2. Taigel F, Tueno AK, and Pibernik P. Privacy-preserving condition-based forecasting using machine learning. 2018. https://doi.org/10.1007/s11573-017-0889-x.

3. Phan N, Wang Y, Wu X, Dou D. Differential Privacy Preservation for Deep Auto-Encoders: An Application of Human Behavior Prediction. in Proc. Thirtieth Int. Conf. Artificial Intelligence processing. 2016; 1309–1316.

4. Liu J, Juuti M, Lu Y, Asokan N. Oblivious neural network predictions via minion transformation. in proc. twenty-fourth ACM. Conf. computer communications security. 2017; PP. 619–631.

5. Multi-key privacy-preserving deep learning in cloud computing;P Li;Future Generation Computer Systems,2017

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