Securing electronic health records against insider-threats: A supervised machine learning approach

Author:

Hurst WilliamORCID,Tekinerdogan Bedir,Alskaif Tarek,Boddy Aaron,Shone Nathan

Publisher

Elsevier BV

Subject

Health Information Management,Computer Science Applications,Health Informatics,Information Systems,Medicine (miscellaneous)

Reference47 articles.

1. Secure and robust machine learning for healthcare: A survey;Adnan Qayyum,2020

2. PAX: Using pseudonymization and anonymization to protect patients' identities and data in the healthcare system;Al-Zubaidie;MDPI Int. J. Environ. Res. Public Health,2019

3. Insider attack detection using deep belief neural network in cloud computing;Anakath;Computer Systems Science and Engineering,2022

4. Access to an electronic health record: A polish national survey;Bujnowska-Fedak;MDPI Int. J. Environ. Res. Public Health,2020

5. Perspectives on Big Data applications of health information;Cano;Current Opinion in Structural Biology,2017

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