Privacy-Preserving Hypothesis Testing for Reduced Cancer Risk on Daily Physical Activity

Privacy preserving data mining for medical information is an important issue to guarantee confidentiality of integrated multiple data sets. In this paper, we propose a secured scheme to estimate related risk of cancers accurately and effectively in a privacy-preserving way. We study models to config...

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Detalles Bibliográficos
Autores principales: Kikuchi, Hiroaki, Huang, Xuping, Ikuji, Shigeta, Inoue, Manami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Education & Training
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882759/
https://www.ncbi.nlm.nih.gov/pubmed/29616341
http://dx.doi.org/10.1007/s10916-018-0930-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882759/
https://www.ncbi.nlm.nih.gov/pubmed/29616341
http://dx.doi.org/10.1007/s10916-018-0930-9

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