Privacy-Preserving Similar Patient Queries for Combined Biomedical Data

Privacy-Preserving Similar Patient Queries for Combined Biomedical Data

The decreasing costs of molecular profiling have fueled the biomedical research community with a plethora of new types of biomedical data, enabling a breakthrough towards more precise and personalized medicine. Naturally, the increasing availability of data also enables physicians to compare patient...

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Bibliographic Details
Main Authors: Salem Ahmed, Berrang Pascal, Humbert Mathias, Backes Michael
Format: Article
Language:English
Published: Sciendo 2019-01-01
Series:Proceedings on Privacy Enhancing Technologies
Subjects:
biomedical data privacy
Online Access:https://doi.org/10.2478/popets-2019-0004
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spelling doaj-7ef015c9ae91424cbb7f4ec7864bfaae2021-09-05T14:01:09ZengSciendoProceedings on Privacy Enhancing Technologies2299-09842019-01-0120191476710.2478/popets-2019-0004popets-2019-0004Privacy-Preserving Similar Patient Queries for Combined Biomedical DataSalem Ahmed0Berrang Pascal1Humbert Mathias2Backes Michael3CISPA, Saarland UniversityCISPA, Saarland UniversitySwiss Data Science Center, ETH Zurich and EPFLCISPA Helmholtz Center i.G.The decreasing costs of molecular profiling have fueled the biomedical research community with a plethora of new types of biomedical data, enabling a breakthrough towards more precise and personalized medicine. Naturally, the increasing availability of data also enables physicians to compare patients’ data and treatments easily and to find similar patients in order to propose the optimal therapy. Such similar patient queries (SPQs) are of utmost importance to medical practice and will be relied upon in future health information exchange systems. While privacy-preserving solutions have been previously studied, those are limited to genomic data, ignoring the different newly available types of biomedical data.https://doi.org/10.2478/popets-2019-0004biomedical data privacy
collection DOAJ
language English
format Article
sources DOAJ
author Salem Ahmed
Berrang Pascal
Humbert Mathias
Backes Michael
spellingShingle Salem Ahmed
Berrang Pascal
Humbert Mathias
Backes Michael
Privacy-Preserving Similar Patient Queries for Combined Biomedical Data
Proceedings on Privacy Enhancing Technologies
biomedical data privacy
author_facet Salem Ahmed
Berrang Pascal
Humbert Mathias
Backes Michael
author_sort Salem Ahmed
title Privacy-Preserving Similar Patient Queries for Combined Biomedical Data
title_short Privacy-Preserving Similar Patient Queries for Combined Biomedical Data
title_full Privacy-Preserving Similar Patient Queries for Combined Biomedical Data
title_fullStr Privacy-Preserving Similar Patient Queries for Combined Biomedical Data
title_full_unstemmed Privacy-Preserving Similar Patient Queries for Combined Biomedical Data
title_sort privacy-preserving similar patient queries for combined biomedical data
publisher Sciendo
series Proceedings on Privacy Enhancing Technologies
issn 2299-0984
publishDate 2019-01-01
description The decreasing costs of molecular profiling have fueled the biomedical research community with a plethora of new types of biomedical data, enabling a breakthrough towards more precise and personalized medicine. Naturally, the increasing availability of data also enables physicians to compare patients’ data and treatments easily and to find similar patients in order to propose the optimal therapy. Such similar patient queries (SPQs) are of utmost importance to medical practice and will be relied upon in future health information exchange systems. While privacy-preserving solutions have been previously studied, those are limited to genomic data, ignoring the different newly available types of biomedical data.
topic biomedical data privacy
url https://doi.org/10.2478/popets-2019-0004
work_keys_str_mv AT salemahmed privacypreservingsimilarpatientqueriesforcombinedbiomedicaldata
AT berrangpascal privacypreservingsimilarpatientqueriesforcombinedbiomedicaldata
AT humbertmathias privacypreservingsimilarpatientqueriesforcombinedbiomedicaldata
AT backesmichael privacypreservingsimilarpatientqueriesforcombinedbiomedicaldata
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