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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| 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 |