Protecting Patients' Data

Author:

Daniels Mark1,Rose John1,Farkas Csilla1

Affiliation:

1. University of South Carolina, Columbia, SC, USA

Publisher

ACM

Reference12 articles.

1. Secure databases: constraints, inference channels, and monitoring disclosures

2. Ellick M. Chan Peifung E. Lam and John C. Mitchell. 2013. Understanding the Challenges with Medical Data Segmentation for Privacy. In Presented as part of the 2013 USENIX Workshop on Health Information Technologies. USENIX Washington D.C. https://www.usenix.org/conference/healthtech13/workshop-program/presentation/Chan Ellick M. Chan Peifung E. Lam and John C. Mitchell. 2013. Understanding the Challenges with Medical Data Segmentation for Privacy. In Presented as part of the 2013 USENIX Workshop on Health Information Technologies. USENIX Washington D.C. https://www.usenix.org/conference/healthtech13/workshop-program/presentation/Chan

3. Health data privacy: A case of undesired inferences

4. Finding Value While Planning a Statewide Health Information Exchange

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1. Digital social innovation based on Big Data Analytics for health and well-being of society;Journal of Big Data;2023-11-15

2. A Study of Cloud Based Solution for Data Analytics in Healthcare;2023 6th International Conference on Information Systems and Computer Networks (ISCON);2023-03-03

3. A Study of Cloud-Based Solution for Data Analytics;Internet of Things;2023

4. Transitive Pseudonyms Mediated EHRs Sharing for Very Important Patients;Lecture Notes in Computer Science;2019

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