Privacy Protection of Healthcare Data over Social Networks Using Machine Learning Algorithms

With the rapid development of mobile medical care, medical institutions also have the hidden danger of privacy leakage while sharing personal medical data. Based on the k-anonymity and l-diversity supervised models, it is proposed to use the classified personalized entropy l-diversity privacy protec...

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Detalles Bibliográficos
Autores principales: Khan, Shakir, Saravanan, V., N, Gnanaprakasam C., Lakshmi, T. Jaya, Deb, Nabamita, Othman, Nashwan Adnan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970892/
https://www.ncbi.nlm.nih.gov/pubmed/35371203
http://dx.doi.org/10.1155/2022/9985933

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970892/
https://www.ncbi.nlm.nih.gov/pubmed/35371203
http://dx.doi.org/10.1155/2022/9985933

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