Scientific Programming has retracted the article titled “Enhancing Health Risk Prediction with Deep Learning on Big Data and Revised Fusion Node Paradigm” [1]. The journal understands that the first author was engaged by a subsidiary of AIA Group in China at the time of the study, which was not declared, and AIA Group Limited believe their data may have been used without permission. The authors say no data from AIA were used, but because the information on data collection and the methods may be unclear, they agreed to retraction to avoid any misunderstanding.
Retraction | Open Access
Retracted: Enhancing Health Risk Prediction with Deep Learning on Big Data and Revised Fusion Node Paradigm
Received28 Jan 2019
Accepted28 Jan 2019
Published08 Apr 2019
References
H. Zhong and J. Xiao, “Enhancing health risk prediction with deep learning on big data and revised fusion node paradigm,” Scientific Programming, vol. 2017, Article ID 1901876, 18 pages, 2017.
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Copyright
Copyright © 2019 Scientific Programming. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.