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e-journal

Utility-Aware Anonymization of Diagnosis Codes

Loukides, Grigorios - Nama Orang; Gkoulalas-Divanis, Aris - Nama Orang;

Abstract—Thegrowingneedforperforminglarge-scaleandlowcost biomedical studies has led organizations to promote the reuse of patient data. For instance, the National Institutes of Health in the U.S. requires patient-specific data collected and analyzed in thecontextofGenome-wideAssociationStudies(GWAS) tobedepositedintoabiorepositoryandbroadlydisseminated.Whileessential to comply with regulations, disseminating such data risks privacy breaches because patients’ genomic sequences can be linked to their identities through diagnosis codes. This paper proposes a novelapproachthatpreventsthistypeofdatalinkagebymodifying diagnosis codes to limit the probability of associating a patient’s identitytotheirgenomicsequence.Ourapproachemploysaneffectivealgorithmthatusesgeneralizationandsuppressionofdiagnosis codes to preserve privacy and takes into account the intended uses ofthedisseminateddatatoguaranteeutility.Wealsopresentextensiveexperimentsusingseveraldatasetsderivedfromtheelectronic medical record (EMR) system of the Vanderbilt University Medical Center, as well as a large-scale case study using the EMRs of 79Kpatients,whicharelinkedtoDNAcontainedintheVanderbilt Universitybiobank.Ourresultsverifythatourapproachgenerates anonymizeddatathatpermitaccuratebiomedicalanalysisintasks including case count studies and GWAS.

Index Terms—Anonymization, diagnosis codes, privacy.


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Informasi Detail
Judul Seri
-
No. Panggil
-
Penerbit
: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS., 2013
Deskripsi Fisik
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 1, JANUARY 2013 p. 60-70
Bahasa
English
ISBN/ISSN
1089-7771
Klasifikasi
NONE
Tipe Isi
-
Tipe Media
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Tipe Pembawa
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Edisi
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Subjek
Diagnosis
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Grigorios Loukides, and Aris Gkoulalas-Divanis
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Tidak tersedia versi lain

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  • Utility-Aware Anonymization of Diagnosis Codes
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