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Constraint graphs as security filters for privacy assurance in medical transactions

Authors:

George Mathew,

Zoran ObradovicAuthors Info & Claims

BCB '11: Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine

Pages 502 - 504

https://doi.org/10.1145/2147805.2147883

Published: 01 August 2011 Publication History

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Abstract

We model transactions as exchange of graphs and propose constraint graphs as transaction filters for attribute-based transformations in clinical settings. An informal representation and working of constraint graphs is presented. A workbench was developed using a real world EMR system to demonstrate the concept. Results of our experiments using constraint graphs are consistent with published benchmark results.

References

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Cited By

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Mohammed SFiaidhi J(2023)Problem-Oriented Translational Health Informatics for Evidence Based Medicine and Privacy Enhancing2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService)10.1109/BigDataService58306.2023.00044(210-214)Online publication date: Jul-2023
https://doi.org/10.1109/BigDataService58306.2023.00044
Mathew GObradovic Z(2018)A distributed decision support algorithm that preserves personal privacyJournal of Intelligent Information Systems10.1007/s10844-014-0331-644:1(107-132)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1007/s10844-014-0331-6

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Constraint graphs as security filters for privacy assurance in medical transactions

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Published In

BCB '11: Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine

August 2011

688 pages

ISBN:9781450307963

DOI:10.1145/2147805

General Chairs:
Robert Grossman
University of Chicago
,
Andrey Rzhetsky
University of Chicago
,
Program Chairs:
Sun Kim
Indiana University Bloomington and Seoul National University
,
Wei Wang
University of North Carolina at Chapel Hill

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 August 2011

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BCB' 11: ACM International Conference on Bioinformatics, Computational Biology and Biomedicine

August 1 - 3, 2011

Illinois, Chicago

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Mohammed SFiaidhi J(2023)Problem-Oriented Translational Health Informatics for Evidence Based Medicine and Privacy Enhancing2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService)10.1109/BigDataService58306.2023.00044(210-214)Online publication date: Jul-2023
https://doi.org/10.1109/BigDataService58306.2023.00044
Mathew GObradovic Z(2018)A distributed decision support algorithm that preserves personal privacyJournal of Intelligent Information Systems10.1007/s10844-014-0331-644:1(107-132)Online publication date: 28-Dec-2018
https://dl.acm.org/doi/10.1007/s10844-014-0331-6

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Medical Informatics: A Model Developed for Diabetes Education Via Telemedicine

Security And Privacy Of Medical Data: Challenges For Next-Generation Patient-Centric Healthcare Systems

The Opportunity for Medical Systems to Reduce Health Disparities Among Lesbian, Gay, Bisexual, Transgender and Intersex Patients

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