Retracted: Enhancing Health Risk Prediction with Deep Learning on Big Data and Revised Fusion Node Paradigm
Author
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-1, 1 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-08
Country of Publication
Egypt
No. of Pages
1
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Programming, Scientific. 2019. Retracted: Enhancing Health Risk Prediction with Deep Learning on Big Data and Revised Fusion Node Paradigm. Scientific Programming،Vol. 2019, no. 2019, pp.1-1.
https://search.emarefa.net/detail/BIM-1210775
Modern Language Association (MLA)
Programming, Scientific. Retracted: Enhancing Health Risk Prediction with Deep Learning on Big Data and Revised Fusion Node Paradigm. Scientific Programming No. 2019 (2019), pp.1-1.
https://search.emarefa.net/detail/BIM-1210775
American Medical Association (AMA)
Programming, Scientific. Retracted: Enhancing Health Risk Prediction with Deep Learning on Big Data and Revised Fusion Node Paradigm. Scientific Programming. 2019. Vol. 2019, no. 2019, pp.1-1.
https://search.emarefa.net/detail/BIM-1210775
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210775