A hybrid privacy protection scheme for medical data

TL;DR

This paper introduces a hybrid privacy protection scheme for medical data that offers adaptable privacy and utility levels, enabling data owners to balance privacy risks with data usefulness for research.

Contribution

The proposed scheme provides a novel adaptive privacy protection method allowing customizable privacy and utility levels in medical data sharing.

Findings

The scheme achieves a wide range of privacy and utility levels.

It effectively balances privacy risks with data utility.

Demonstrated on heart disease and diabetes datasets.

Abstract

Healthcare data contains sensitive information, and it is challenging to persuade healthcare data owners to share their information for research purposes without any privacy assurance. The proposed hybrid medical data privacy protection scheme explores the possibility of providing adaptive privacy protection and data utility levels. The evaluation result demonstrates that the scheme can provide adaptive privacy and data utility levels, and the data holder can choose their preferred risk level and data utility through the scheme. The evaluation results on the heart disease and diabetes data demonstrate that the scheme can provide a wide range of adaptive privacy protection and data utility levels to meet different privacy protection and data utility requirements.