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A Novel Optimized Perturbation-Based Machine Learning for Preserving Privacy in Medical Data
In recent times, providing privacy to the medical dataset has been the biggest issue in medical applications. Since, in hospitals, the patient's data are stored in files, the files must be secured properly. Thus, different machine learning models were developed to overcome data privacy issues....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007660/ https://www.ncbi.nlm.nih.gov/pubmed/37206632 http://dx.doi.org/10.1007/s11277-023-10363-x |